Miracle-dz/UniFAR-FTUs huggingface dataset:
Flow Field Simulation and Experimental Analysis of Flue Guide Plate of Marine Desulfurization Tower

ABSTRACT Du, J.; Zhao, H. , and Xue, Y.F. , 2020. Flow field simulation and experimental analysis of flue guide plate of marine desulfurization tower. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 396-400. (Coconut Creek, Florida), ISSN 0749-0208. In this paper, the exhaust gas of marine diesel engine under rated condition is taken as the research object, the newer version of fluent18.0 software is used as the platform, the self-defined function and SO2 absorption model are compiled by using C++software and double membrane theory, and the compiled self-defined function is imported through UDF interface. The uneven distribution of flue gas and the phenomenon of sticking to the wall in the side feed desulfurization tower lead to the reduction of desulfurization efficiency. The number and position of the guide plates in the flue of the marine desulfurization tower need not be simulated and optimized. Through the analysis and comparison of the velocity flow field and SO2 mass fraction cloud chart, the desulfurization efficiency of zero to three guide plates is 94.31%, 95%, 96.84% and 97.63% respectively. Then, compared with the experimental data, and the difference of simulation results is small, which has great practical value and theoretical significance for optimizing desulfurization tower and improving sodium alkali desulfurization system.
CORRELATION OF HST-001 DUE TO UNCERTAIN TECHNICAL PARAMETERS – COMPARISON OF RESULTS FROM DICE, SAMPLER AND SUnCISTT

In this work we present a detailed uncertainty, correlation and sensitivity study of keff values with focus on uncertain technical parameters of ten experiments of critical high enriched uranium solutions with a thermal neutron spectrum. The experiments are documented in the ICSBEP as HEU-SOL-THERM-001(HST-001) [1]. The total Monte Carlo approach was chosen to allow all uncertain quantities to be sampled at once following their individual distribution functions. The stochastic dependencies between variables of different experiments were chosen based on available data. The analyses were done individually and independent by GRS using the code SUnCISTT [2] and ORNL using the SCALE sequence SAMPLER [3]. Both Monte Carlo approaches rely on the neutron transport code KENO from SCALE 6.2. 2 [4]. This enables a direct comparison of the implemented total Monte-Carlo methods. Each of the two codes were used to analyze two different sets of uncertainties: The first evaluation is based on the uncertainties given in chapter 1“Detailed Description” of the HST001 evaluation in the ICSBEP handbook. The second is based on the evaluated uncertainties given in chapter 2.0 “Evaluation of experimental data”. The uncertainty, sensitivity studies, and Pearson ́s correlation coefficients for the keff values calculated are presented. A comparison with the correlation coefficients given in DICE [5] is discussed.
Reliability of Large-Eddy Simulation of Buoyancy-Driven Turbulent Mixing

The effects of unstable stratification on the turbulent transport in a shear layer are quantified by monitoring global geometric properties of constant density surfaces, such as their area and wrinkling. The flow is simulated using direct and large-eddy simulation, in which regularization modeling for the sub-grid scales in the momentum and the scalar equations is adopted and compared to dynamic sub-grid modeling. We establish the accuracy of the Leray regularization approach for the fluid flow and the scalar mixing. The LANS-α model was found to lead to an overestimation of the small scales, particularly at coarse grids. Predictions based on dynamic models were found to be comparable to the Leray model, but require more computational effort and do not provide a systematic framework for deriving sub-filter closure for complex problems.
Neural Networks for image classification An approach to adversarial perturbations robustness

The following document contains the analysis of a method for image classification problems for neural networks, developed with the goal of improving robustness to adversarial perturbations. Through the use of an encoder, the system maps the input data to distributions with target mean and variance, inside of a latent space with dimensionality equal to the number of classes. The idea is that, by having well separated distributions, adversarial attacks will prove less effective. The system was already developed for one-vs-all class classification [1], consequently this thesis explores the results and methods for a multiclass extension. We performed analyses on the MNIST and CIFAR-10 datasets, and the outcomes obtained are solid enough for an extension to other databases. Indeed, the results prove that a system as the one presented is consistently more resistant to adversarial perturbations compared to standard cross-entropy schemes, while providing comparable levels of accuracy when perturbations are absent.
Caracterização da estrutura genética populacional do tubarão-crocodilo (Pseudocarcharias kamoharai) no Atlântico Equatorial utilizando marcadores moleculares.

For the fishing sector, the identification and delimitation of the fishing stocks constitute fundamental information due to their direct relationship to the overall productivity and sustainable utilization of the resources. This constitutes a basic objective in terms of population management and conservation of endangered species that can be represented by the conservation of the genetic variability. Among the most exploited sharks, pelagic species have a greater complexity in terms of evaluation and monitoring due to their distributions along large geographical areas. One of these species is the crocodile shark, Pseudocarcharias kamoharai, which reaches maximum sizes of around 140 cm in total length, inhabits maximum depths of around 600 meters, and occurs in all tropical oceans including in Brazil, mainly in the Northeast region. The molecular genetic analysis using sequences of the mitochondrial DNA control region (D-loop) of 125 individuals captured in four distinct regions in the Atlantic Ocean (Western Equatorial, Northwest Africa, Gulf of Guinea and Southwest Africa), allowed the identification of 22 haplotypes which revealed a haplotype diversity of h=0627 and a nucleotide diversity of π=0.00167. These indices showed to be similar to those found in other species of pelagic sharks, also from the Atlantic sites and can be considered inside of the average levels of genetic diversity among the sharks. The value of FST=0.00125 index found in the comparisons may suggest the absence of population subdivision among the four sampled regions analyzed. Given the continued inclusion of shark species in the Red List of the International Union for Conservation of Nature and Natural Resources (IUCN), the results obtained in this study may be used to help a
APPLICATION OF AHP METHOD IN THE FIELD OF CITY LOGISTICS

City logistics plays an increasing role in many cities. The constant growth of traffic caused by passenger and freight transport in urban areas contributes to increasing congestion. The municipal authorities are faced with many other problems arising from these, such as: air pollution, noise, vibration. Society expects that the city representatives will undertake the roles of making imperative decisions to eliminate problems associated with city logistics in order to improve the quality of citizens’ lives. In this article an attempt to implement the AHP method will be used to select a solution in the field of urban logistics that would improve the quality of life.
Simulation Study of Different Single Phase Transformer-less Pv Inverter Topologies for Grid- Tied PV System

This Interest is developing significantly on transformer-less photovoltaic (PV) inverter for its small size, low cost and high efficiency compared to the inverter, which has transformer. Different topologies of transformer-less inverters are stated in the literature based on the leakage current characteristics. In this paper four different topologies of transformer-less inverters (H5, HERIC, OH5 and H6) have been selected for performance analysis. For controlling the grid current and voltage of the DC link a common control method for all the topologies has been designed based on proportional resonant (PR) controller. SPWM technique has been used to generate the switching pulses for the inverter switches. The simulation of all the four topologies of PV inverter are conducted in MATLAB/SIMULINK environment. Finally, a comparative study has been conducted among the four topologies based on CM voltage, leakage current, and THD to determine respective topology for different types of applications.
Ubiquitin-mediated proteolysis in Xenopus extract Version 1

The small protein modifier, ubiquitin, can be covalently attached to proteins in the process of ubiquitylation, resulting in a variety of functional outcomes. In particular, the most commonly-associated and well-studied fate for proteins modified with ubiquitin is their ultimate destruction: degradation by the 26S proteasome via the ubiquitin-proteasome system, or digestion in lysosomes by proteolytic enzymes. From the earliest days of ubiquitylation research, a reliable and versatile "cell-in-a-test-tube" system has been employed in the form of cytoplasmic extracts from the eggs and embryos of the frog Xenopus laevis. Biochemical studies of ubiquitin and protein degradation using this system have led to significant advances particularly in the study of ubiquitin-mediated proteolysis, while the versatility of Xenopus as a developmental model has allowed investigation of the in vivo consequences of ubiquitylation. Here we describe the use and history of Xenopus extract in the study of ubiquitin-mediated protein degradation, and highlight the versatility of this system that has been exploited to uncover mechanisms and consequences of ubiquitylation and proteolysis.
Working Paper No. 448 Non-rational expectations and the transmission mechanism

In this paper, we compare two approaches to modelling behaviour under non-rational expectations in a benchmark New Keynesian model. The ‘Euler equation’ approach modifies the equations derived under the assumption of rational expectations by replacing the rational expectations operator with an alternative assumption about expectations formation. The ‘long-horizon’ expectations approach solves the decision rules of households and firms conditional on their expectations for future events that are outside of their control, so that spending and price-setting decisions depend on expectations extending into the distant future. Both approaches can be defended as descriptions of (distinct) forms of boundedly rational behaviour, but have different implications both for the form of the equations that govern the dynamics of the economy and the ease of deriving those equations. In this paper we construct two versions of a benchmark New Keynesian model in which non-rational expectations are modelled using the Euler equation and long-horizon approaches and show that both approaches have very similar implications for macroeconomic dynamics when departures from rational expectations are relatively small. But as expectations depart further from rationality, the two approaches can generate significantly different implications for the behaviour of key variables.
Level-Set Ghost Fluid Methods for Free Boundary Problems in Incompressible Euler and Navier-Stokes Equations

The present work is devoted to the study of free boundary problems for Euler and Navier-Stokes equations in primitive variables. The goal of the present work is to elaborate a methodology for numerical modeling of all kinds of incompressible viscous fluids, having in mind possible application to deep water, lava flow simulation and crust formation. Our approach could be essentially divided in three fundamental components: finite difference for spatial approximation, second order accurate method for temporal discretization and level set methods for boundary representation. The domain is discretized by a regular Cartesian grid. The boundary is described by level set methods. In this context the boundary is seen as a zero level set of a specific function. Navier-Stokes equations is solved starting from Semi-Lagrangian methods, achieving second order accuracy in time and space. Resolution of Navier-Stokes equations allows a Poisson problem for pressure as an intermediate step. This is solved by multigrid methods. The velocity and the pressure are computed by solving a single implicit system solved iteratively.
Audio-Fingerprinting via Dictionary Learning

In recent years, several successful schemes have been proposed to solve the song identification problem. These techniques aim to construct a signal’s audio-fingerprint by either employing conventional signal processing techniques or by computing its sparse representation in the time-frequency domain. This paper proposes a new audio-fingerprinting scheme which is able to construct a unique and concise representation of an audio signal by applying a dictionary, which is learnt here via the well-known K-SVD algorithm applied on a song database. The promising results which emerged while conducting the experiments suggested that, not only the proposed approach preformed rather well in its attempt to identify the signal content of several audio clips –even in cases this content had been distorted by noise - but also surpassed the recognition rate of a Shazam-based paradigm.
DECISION-MAKING IN A MANUFACTURING SYSTEM BASED ON MADM METHODS

Nowadays, manufacturing systems are much larger with an increasing number of production lines and units. As a result, the decision-making of manufacturing system is a non-trivial problem and requires complex control subsystems. The use of Programmable Logic Controllers (PLCs) allows to program various and non-standard solutions. In the paper the application of Multi-Attribute Decision-Making (MADM) methods to a decision-making related to flow control in a manufacturing system with three production lines is described. For this purpose, the SAW (Simple Additive Method), WASPAS (Weighted Aggregated Sum Product ASsessment) and TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) methods are applied and simulated with using manufacturing system model in Matlab Simulink and SimEvents. In methods subjective weights defined by an expert are used. However, in order to move away from subjectivism, Shannon’s entropy is used for determining weights of criteria. The used approaches have been compared.
Metabolism and Thermoregulation in Crosses between Wild and Random-Bred Laboratory House Mice (Mus domesticus)

We conducted a "common garden" experiment to compare aspects of thermoregulation and metabolism in wild and random-bred laboratory house mice (Mus domesticus) and their reciprocal crosses. Analysis of covariance (ANCOVA) indicated that, after accounting for effects of body mass and other appropriate covariates (e.g., age), wild (N = 12) and hybrid (N = 25) mice together tended to have higher (+9.7%; P = .0904) maximal nonshivering thermogenesis (max-NST) in response to norepinephrine injection than did lab mice (N = 18). Wild (−17.2%; P = .0941) and hybrid (wild dam: −23.1%; P = .0001; lab dam: −11.2%; P = .0749) mice also tended to have lower basal metabolic rates (BMRs) than did lab mice. As a consequence of these trends, wild and hybrid mice, analyzed together, had significantly higher (+ 18.2%; P = .0263) regulatory NST (max-NST minus BMR) than did lab mice. Paralleling the differences in regulatory NST, wild and hybrid mice together had significantly more (+21.2%; P = .0129) interscapular brown adipose tissue than did lab mice. However, plasma thyroid hormone levels (triiodothyronine [T3] and thyroxine [T4] showed no significant differences among groups, and, even for the traits that exhibited significant differences, the overlap of values for individual mice was substantial. Moreover, mean values for max-NST and BMR for all four groups fell well within the range of values reported in the literature for small mammals. We therefore concluded that random-bred laboratory mice are not necessarily "degenerate" with respect to their metabolic and thermoregulatory capacities. Finally, the two reciprocal cross groups differed in BMR (P = .0314), which thus indicated a maternal influence: wild-dam × lab-sire mice had significantly lower BMRs than did lab-dam × wild-sire mice.
Automated phenotypic method versus manual method in the identification of microorganisms isolated from blood cultures: clinical and microbiological outcomes

Introduction: Automation is increasingly used in microbiology laboratory, however, few studies assessed clinical outcomes compared to traditional methods. In Brazil, no studies with this objective were detected. Objective: To analyze the clinical and microbiological impacts after implantation of an automated phenotypic method in a microbiology service. Methods: Observational and retrospective study carried out on the microbiology laboratory involving blood culture test from intensive care unit (ICU) patients. Data were collected from hospitalized patients between January 2014 and December 2015. The length of hospitalization, number of empirical therapies, deaths and information related to microbiological isolation were analyzed. The sample was obtained by convenience. Pearson's Chisquare and Student's t-tests were used to compare outcomes. The program used was the Stata release, version 11, being considered significant values of p<0.05. Results: A total of 472 patients were evaluated. There was no reduction in the empirical prescription of antimicrobials (54.7% vs 45.3%; p=0.33), ICU stay (14.5 days vs 15.8 days; p=0.78) and mortality (54.4% vs 45.6%; p=0.36). Similarly, profile of isolated agents in both methods did not appear to be discrepant, however, there was an increase of 44.7% in the number of microbial isolates (76 vs 110) and a better characterization of them. Conclusion: The microbiology laboratory automation did not modify the length of stay, ICU mortality and the number of empirical therapies. However, identification and isolation of microorganisms was improved.
A comparative study on different surface balance training on dyanamic postural control in collegiate female athletes

Purpose: The study aims to evaluate the effectiveness of different surface balance training on dynamic posture control in collegiate female athletes. Methods: The research was experimental in nature. The subjects were selected through purposive sampling. 40 female collegiate students were selected and divided into 2 groups. Group A was given star excursion balance training on stable surface and Group B was given Star Excursion Balance Training on unstable surface. Pre and post protocol assessment was done with the help of YBT on day 1st and end of the 4th week.
Evaluation of tail call costs in eBPF

This paper compares the performance of tail calls between eBPF programs before and after the optimizations introduced to mitigate spectre ﬂaws. This was carried out for two kernel versions: 5.4 and 5.5. The latter introduces a performance optimization which removes retpoline overhead whenever possible. Two experiments were carried out: the ﬁrst one uses in-kernel testing BPF_PROG_TEST_RUN and the second uses kprobes and network namespaces. The conditions to trigger the optimization from kernel 5.5 were met in both cases, resulting in a drop of the cost of one tail call from 20-30 ns to less than 10 ns.
2.65Gbps Downlink Communications with Polarization Multiplexing in X-Band for Small Earth Observation Satellite

This paper reports our new communication components and downlink tests for realizing 2.65Gbps by utilizing two circular polarizations. We have developed an on-board X-band transmitter, an on-board dual circularly polarized-wave antenna, and a ground station. In the onboard transmitter, we optimized the bias conditions of GaN High Power Amplifier (HPA) to linearize AM-AM performance. We have also designed and fabricated a dual circularly polarized-wave antenna for low-crosstalk polarization multiplexing. The antenna is composed of a corrugated horn antenna and a septum-type polarizer. The antenna achieves Cross Polarization Discrimination (XPD) of 37 − 43 dB in the target X-band. We also modify an existing 10m ground station antenna by replacing its primary radiator and adding a polarizer. We put the polarizer and LowNoise Amplifiers (LNAs) in a cryogenic chamber to reduce thermal noise. Total system noise temperature of the antenna is 58K (maximum) for 18K physical temperature when the angle of elevation is 90◦ on a fine winter day. The dual circularly polarized-wave ground station antenna has 39.0 dB/K of Gain system-noise Temperature ratio (G/T) and an XPD higher than 37 dB. The downlinked signals are stored in a data recorder at the antenna site. Afterwards, we decoded the signals by using our non-real-time software demodulator. Our system has high frequency efficiency with a roll-off factor α = 0.05 and polarization multiplexing of 64APSK. The communication bits per hertz corresponds to 8.41 bit/Hz (2.65Gbit/315MHz). The system is demonstrated in orbit on board the RAPid Innovative payload demonstration Satellite (RAPIS-1). RAPIS-1 was launched from Uchinoura Space Center on January 19th, 2019. We decoded 1010 bits of downlinked Rand L-channel signals and found that the downlinked binary data was error free. Consequently, we have achieved 2.65Gbps communication speed in the X-band for earth observation satellites at 300 Mega symbols per second (Msps) and polarization multiplexing of 64APSK (coding rate: 4/5) for rightand left-hand circular polarizations. key words: satellite communications, small satellite, DVB-S2X, Cross Polarization Discrimination (XPD), polarization multiplexing
Mar 06, 2020 Review of Challenges and Research Opportunities for Voltage Control

—In this paper, we review the emerging challenges and research opportunities for voltage control in smart grids. For transmission grids, the voltage control for accommodating wind and solar power, fault-induced delayed voltage recovery (FIDVR), and measurement-based Th´evenin equivalent for voltage stability analysis are reviewed. For distribution grids, the impact of high penetration of distributed energy resources (DER) is analyzed, typical control strategies are reviewed, and the challenges for local inverter Volt-Var control is discussed. In addition, the motivation, state-of-art, and future directions of the coordination of transmission system operators (TSO) and distribution system operators (DSO) are also thoroughly discussed.
Low Reynolds number turbulent flows over elastic walls

We study the laminar and turbulent channel flow over a viscous hyper-elastic wall and show that it is possible to sustain an unsteady chaotic turbulent-like flow at any Reynolds number by properly choosing the wall elastic modulus. We propose a physical explanation for this effect by evaluating the shear stress and the turbulent kinetic energy budget in the fluid and elastic layer. We vary the bulk Reynolds number from 2800 to 10 and identify two distinct mechanisms for turbulence production. At moderate and high Reynolds numbers, turbulent fluctuations activate the wall oscillations, which, in turn, amplify the turbulent Reynolds stresses in the fluid. At a very low Reynolds number, the only production term is due to the energy input from the elastic wall, which increases with the wall elasticity. This mechanism may be exploited to passively enhance mixing in microfluidic devices.