Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN OF A BIDIRECTIONAL DC MICROGRID CONTROLLED WITH ENERGY MANAGEMENT SYSTEM

Energy management integrating renewables and conventional grids might be viable for meeting current and future energy demands. The amount of energy generated from renewable sources varies from time to time. When a hybrid renewable-based unidirectional dc microgrid is linked to the utility grid, energy might be underutilized during periods of surplus generation. Bidirectional dc microgrid systems can help with energy management and address various environmental challenges. The architecture of a bidirectional dc microgrid, including solar photovoltaics (PV), wind turbines, battery storage and conventional utility grid has been designed in this work. An energy management system (EMS) is designed to supply the required energy to particular loads under various conditions. Maximum available power is extracted from PV using Maximum Power Point Tracking (MPPT), using the P&O algorithm. When the combined power of the PV panels and wind turbine exceeds the demand of the loads, the extra energy is used to charge the batteries. The remaining energy is supplied to the power grid through an inverter when the battery's state of charge (SOC) reaches 90%. When there is a dearth of generated electricity from renewable sources, and the battery's SOC is less than 30%, power is drawn from the utility grid and provided to loads. The system design is implemented in MATLAB/Simulink and the effects of altering the circumstances on the electrical parameters are observed. Variable load and generation circumstances are used to generate the simulation results.
A steady state model for graph power laws

Power law distribution seems to be an important characteristic of web graphs. Several existing web graph models generate power law graphs by adding new vertices and non-uniform edge connectivities to existing graphs. Researchers have conjectured that preferential connectivity and incremental growth are both required for the power law distribution. In this paper, we propose a different web graph model with power law distribution that does not require incremental growth. We also provide a comparison of our model with several others in their ability to predict web graph clustering behavior.
A Systematic Study of Estimating Potato N Concentrations Using UAV-Based Hyper- and Multi-Spectral Imagery

Potato growth depends largely on nitrogen (N) availability in the soil. However, the shallow-root crop coupled with its common cultivation in coarse-textured soils leads to its poor N use efficiency. Fast and accurate estimations of potato tissue N concentrations are urgently needed to assist the decision making in precision fertilization management. Remote sensing has been utilized to evaluate the potato N status by correlating spectral information with lab tests on leaf N concentrations. In this study, a systematic comparison was conducted to quantitatively evaluate the performance of hyperspectral and multispectral images in estimating the potato N status, providing a reference for the trade-off between sensor costs and performance. In the experiment, two potato varieties were planted under four fertilization rates with replicates. UAV images were acquired multiple times during the season with a narrow-band hyperspectral imager. Multispectral reflectance was simulated by merging the relevant narrow bands into broad bands to mimic commonly used multispectral cameras. The whole leaf total N concentration and petiole nitrate-N concentration were obtained from 160 potato leaf samples. A partial least square regression model was developed to estimate the two N status indicators using different groups of image features. The best estimation accuracies were given by reflectance of the full spectra with 2.2 nm narrow, with the coefficient of determination (R2) being 0.78 and root mean square error (RMSE) being 0.41 for the whole leaf total N concentration; while, for the petiole nitrate-N concentration, the 10 nm bands had the best performance (R2 = 0.87 and RMSE = 0.13). Generally, the model performance decreased with an increase of the spectral bandwidth. The hyperspectral full spectra largely outperformed all three multispectral cameras, but there was no significant difference among the three brands of multispectral cameras. The results also showed that spectral bands in the visible regions (400–700 nm) were the most highly correlated with potato N concentrations.
Drag Coefficients for Rotating Expendable Bathythermographs and the Impact of Launch Parameters on Depth Predictions

Computational fluid dynamics techniques have been applied to model fluid flow in the vicinity of oceanographic temperature probes. A major goal of the modeling effort is the determination of drag coefficients for probe descent into ocean water. These drag coefficients can be used, in conjunction with a dynamic model of the probe, to predict the depth of the probe during descent. Accurate depth information is essential for the proper measurement of ocean temperatures and, consequently, ocean heating associated with climate change. Until recently, probe depths were predicted with the use of experimental calibrations which relate time-of-flight and depth. Those calibrations are limited in their accuracy, they are confined to conditions that match the experiments from which the calibrations were determined, and they are unable to account for variations in quantities such as the drop height or initial probe mass. The dynamic model and drag coefficient calculations presented here are, to the best knowledge of the authors, the first to include the impact of probe rotation. It is hoped that this new technique can be applied to the archive of oceanographic probe measurements and that improvements to ocean temperature monitoring will result.
Automatic incipient fault detection and health state assessment of rolling element bearings using pruned exact linear time method

Rolling element bearing is a crucial component in rotating machines. The existence of faults in the bearing causes sudden failures, resulting in catastrophic failure of machines. Incipient fault detection and health state assessment are the essential tasks in condition-based maintenance to avoid machine failures. This paper proposes a new method, the Pruned Exact Linear Time, for identifying the incipient faults and following damage states in the bearing. When a fault initiates in the bearing, there is an increment in the vibration response. This increment can be quantified by the degradation indicator computed from the vibration signal. The Variational Mode Decomposition technique is used to de-noise the vibration signals. Various statistical features are derived from the de-noised signal, and the best feature subset is chosen by the Recursive Feature Elimination method. Then, the significant bearing life degradation indicator is computed using the Reconstruction Independent Component Analysis method by fusing selected features. A novel index is formulated for computing the percentage of failure, which can identify whether the bearing is in a mild failure state or medium failure state. The efficiency of the proposed framework is demonstrated using experimental bearing datasets.
A multi-frequency study of the SZE in giant radio galaxies

Context. Radio galaxy (RG) lobes contain relativistic electrons embedded in a tangled magnetic field that produce, in addition to low-frequency synchrotron radio emission, inverse-Compton scattering (ICS) of the cosmic microwave background (CMB) photons. This produces a relativistic, non-thermal Sunyaev-Zel’dovich effect (SZE). Aims. We study the spectral and spatial properties of the non-thermal SZE in a sample of radio galaxies and make predictions for their detectability in both the negative and the positive part of the SZE, with space experiments like Planck ,O LIMPO, andHerschelSPIRE. These cover a wide range of frequencies, from radio to sub-mm. Methods. We model the SZE in a general formalism that is equivalent to the relativistic covariant one and describe the electron population contained in the lobes of the radio galaxies with parameters derived from their radio observations, namely, flux, spectral index, and spatial extension. We further constrain the electron spectrum and the magnetic field of the RG lobes using X-ray, gammaray, and microwave archival observations. Results. We determine the main spectral features of the SZE in RG lobes, namely, the minimum, the crossover, and the maximum of the SZE. We show that these typical spectral features fall in the frequency ranges probed by the available space experiments. We provide the most reliable predictions for the amplitude and spectral shape of the SZE in a sample of selected RGs with extended lobes. In three of these objects, we also derive an estimate of the magnetic field in the lobe at the ∼μG level by combining radio (synchrotron) observations and X-ray (ICS) observations. These data, together with the WMAP upper limits, set constraints on the minimum momentum of the electrons residing in the RG lobes and allow realistic predictions for the visibility of their SZE to be derived with Planck ,O LIMPO, andHerschel-SPIRE. Conclusions. We show that the SZE from several RG lobes can be observed with mm and sub-mm experiments like Planck ,O LIMPO, and Herschel-SPIRE, as well as with ground-based telescopes that have < mJy sensitivity and sub-arcmin spatial resolution. These measurements will be crucial to disentangle the relativistic electron distribution from that of the magnetic field in RG lobes and to constrain the properties of their ICS emission, which is also visible at very high X-ray and gamma-ray energies.
Vortex lattice solutions to the Gross-Pitaevskii equation with spin-orbit coupling in optical lattices

Effective spin-orbit coupling can be created in cold atom systems using atom-light interaction. We study the BECs in an optical lattice using the Gross-Pitaevskii equation with spin-orbit coupling. Bloch states for the linear equation are numerically obtained, and compared with stationary solutions to the Gross-Pitaevskii equation with nonlinear terms. Various vortex lattice states are found when the spin-orbit coupling is strong.
A simultanous solution for general linear equations on a ring or hierarchical cluster

There are several iterative models for solving general, large linear equations. In this paper a parallel algorithm with slow convergence speed for studying the speed-up effect of the parallel algorithms has been presented. The difference between the ring and hierarchical topology considering running speed and efficiency has also been explored. Detailed numerical test results of the algorithm including the speedup of parallel execution are shown.
A Logarithmic Time Parallel Algorithm for Partitioning

Here a parallel algorithm for computing the coarsest refinement of a psi tion of a set S with respect to a given function that requires O( logn ) units of time and makes use of O( n2 ) processors, where n is the cardinality of the set S; the model of computation uscd. it is a Concurrent Read ExcIusive Write Parallel RAM (abbreviated CREW PRAM). Funhermore an 0 (n2) cost dgorithm for the same problem is presented.
Toward an information systems architecture model for university hospitals: A case study in a Brazilian public hospital

The implementation of information systems (IS) architecture is a step in constructing enterprise architecture (EA) according to The Open Group Architecture Framework (TOGAF) and can introduce notable benefits in supporting the management and governance of information and communications technology (ICT) in organizations. However, the literature lacks models that support the construction of IS architectures in university hospitals (UHs). The Hospital das Clínicas of the Federal University of Pernambuco (HC‐UFPE) is a large UH that confronts ICT misalignments of with other internal areas. In this context, this study investigates and proposes an IS architecture model for UHs through a case study conducted at HC‐UFPE. The data collection methodology for constructing the IS architecture of this hospital was based on consultations with institutional documents, interviews with strategic stakeholders, and participant observations in the hospital's ICT sector. Open coding and data triangulation were used to analyze the data. This study presents two main contributions. (1) The development of a model used to assist in the construction of IS architecture for UHs. The model developed in this study has a practical application with the TOGAF 9.2 framework and Archi software for constructing an IS architecture for HC‐UFPE. (2) The development and delivery of an HC‐UFPE IS architecture to support the hospital's ICT governance, providing, through EA artifacts, a holistic view of the hospital's current and future ICT processes, in addition to the identification of gaps, challenges, and viable solutions to be considered for decision making to improve service delivery and ICT alignment with other hospital areas.
Trapping of Ag+ into a Perfect Six-Coordinated Environment: Structural Analysis, Quantum Chemical Calculations and Electrochemistry

Self-assembly of (Bu4N)4[β-Mo8O26], AgNO3, and 2-bis[(2,6-diisopropylphenyl)-imino]acenaphthene (dpp-bian) in DMF solution resulted in the (Bu4N)2[β-{Ag(dpp-bian)}2Mo8O26] (1) complex. The complex was characterized by single crystal X-ray diffraction (SCXRD), X-ray powder diffraction (XRPD), diffuse reflectance (DR), infrared spectroscopy (IR), and elemental analysis. Comprehensive SCXRD studies of the crystal structure show the presence of Ag+ in an uncommon coordination environment without a clear preference for Ag-N over Ag-O bonding. Quantum chemical calculations were performed to qualify the nature of the Ag-N/Ag-O interactions and to assign the electronic transitions observed in the UV–Vis absorption spectra. The electrochemical behavior of the complex combines POM and redox ligand signatures. Complex 1 demonstrates catalytic activity in the electrochemical reduction of CO2.
The distribution of light in the barred spirals NGC 5757 and IC 1091

We made CCD surface photometry in B, V, R and I filters for two Sb barred galaxies: NGC 5757 and IC 1091. We obtained isophotal maps, inclination, orientation, integrated magnitudes, and diameters. We determined the luminosity and color profiles along the major and minor axis of the bars, as well as azimuthal profiles, for which we made Fourier decompositions. The results showed that the two galaxies have comparable dimensions, luminosity and global colors; the bars have similar stellar'population and lengths, but are very different in shape and strength. NGC 5757, which has a strong bar, presents traces of recent star formation at its center
Assessment of micronutrients fractionations and mobility in soils of eastern Uttar Pradesh

In the present investigation, an attempt has been made to assess the various chemical forms and mobility factor (MF) for zinc (Zn), copper (Cu), iron (Fe) and manganese (Mn) in different soils of eastern Uttar Pradesh. For this purpose, surface soil (0-15 cm) samples from two different locations were collected under Entisol, Inceptisol, Vertisol and Alfisol during 2019-20 and analysis was done in the laboratory of Department of Soil Science and Agricultural Chemistry, BHU, Varanasi. The modified Tessier sequential extraction procedure was used to determine the chemical pools of Zn, Cu, Fe and Mn in each soil. Results indicated that total metal content follows the order of Fe>Mn>Zn>Cu across the soil orders, whereas mobility factor of micronutrients arranged as: Mn>Cu>Zn>Fe. The highest exchangeable (F1), carbonate bound (F2), Fe-Mn oxides bound (F3), organically bound (F4) and residual (F5) fraction were recorded in Inceptisol, Vertisol, Alfisol, Inceptisol and Alfisol, respectively for micronutrients, i.e. Zn, Cu, Fe and Mn. The mean percentage value of various micronutrients fractions were in the order of F5>F3>F4>F2>F1, except Mn, whose chemical forms follows the order of F3>F5>F4>F2>F1. The Zn and Cu were highly mobile in Vertisol while Fe and Mn in Entisol.
First Limits on the Dark Matter Cross Section with the HAWC Observatory

The High Altitude Water Cherenkov (HAWC) gamma-ray observatory is a wide field-of-view observatory sensitive to 100 GeV - 100 TeV gamma rays and cosmic rays. The HAWC observatory is also sensitive to diverse indirect searches for dark matter annihilation, including annihilation from extended dark matter sources, the diffuse gamma-ray emission from dark matter annihilation, and gamma-ray emission from non-luminous dark matter subhalos. Among the most promising classes of objects for the indirect detection of dark matter are dwarf spheroidal galaxies. These objects are expected to have few astrophysical sources of gamma rays but high dark matter content, making them ideal candidates for an indirect dark matter detection with gamma rays. Here we present independent limits on the annihilation cross section for 14 dwarf spheroidal galaxies within the HAWC field-of-view, as well as their combined limit. These are the first limits on the annihilation cross section using data collected with HAWC.
Demonstration of PIV in a Transonic Compressor

Particle Imaging Velocimetry (PIV) is a powerful measurement technique which can be used as an alternative or complementary approach to Laser Doppler Velocimetry (LDV) in a wide range of research applications. PIV data are measured simultaneously at multiple points in space, which enables the investigation of the non-stationary spatial structures typically encountered in turbomachinery. Many of the same issues encountered in the application of LDV techniques to rotating machinery apply in the application of PIV. Preliminary results from the successful application of the standard 2-D PIV technique to a transonic axial compressor are presented. The lessons learned from the application of the 2-D PIV technique will serve as the basis for applying 3-component PIV techniques to turbomachinery.
Effect of multimedia interventions on children’s fruit and vegetable consumption in a real-life setting

Purpose This paper aims to examine the effect of a food-inspired multimedia intervention on children’s fruits and vegetables (F&V) consumption in a real-life setting during lunch. Design Children in an elementary school in Bologna (Italy) in third, fourth and fifth grade, aged between 9 and 12 years old, were examined (N = 171). Two different types of messages (generic and specific) were used to test message-tailoring in two separate intervention groups and one control group. The two intervention groups (classes) were presented with multimedia messages during an English lesson before lunchtime, and their eating behavior during lunch at school was observed. All children were served the first and second course, vegetables and fruit during lunchtime. Data was analyzed with R 3.4. 2. Mann–Whitney U, Kruskal–Wallis and ANOVA tests were used to test for group differences, ordered logistic regression for modelling fruit and vegetable consumption. Findings The results show that children receiving a specific message targeting F&V consumed more fruit than the other two study groups. No effect on vegetable consumption was observed. Results from an ordered logit model support the notion that the multimedia message impacted fruit intake in the specific message group when taking other variables into account, such as F&V consumption and availability at home and children’s attitude toward F&V. Originality While many studies have considered a group of intervention for understanding the effect of multimedia, this study is focused only on the effect of a message (generic or specific). Moreover, participants, children, were not informed that they were participating in a study on fruit and vegetables consumption, and thus were following their daily routine.
Cell Reprogramming for Regeneration and Repair of the Nervous System

A persistent barrier to the cure and treatment of neurological diseases is the limited ability of the central and peripheral nervous systems to undergo neuroregeneration and repair. Recent efforts have turned to regeneration of various cell types through cellular reprogramming of native cells as a promising therapy to replenish lost or diminished cell populations in various neurological diseases. This review provides an in-depth analysis of the current viral vectors, genes of interest, and target cellular populations that have been studied, as well as the challenges and future directions of these novel therapies. Furthermore, the mechanisms by which cellular reprogramming could be optimized as treatment in neurological diseases and a review of the most recent cellular reprogramming in vitro and in vivo studies will also be discussed.
Effect of storage on the levels of sodium benzoate in soft drinks sold in some Nigerian market with exposure and health risk assessment

Soft drinks consumption is still a controversial issue for public health and public policy, as the influence storage condition impacts taste, color and shelf life. In all, fifty (50) soft drinks samples, acquired from Enugu, Aba, Asaba, Onitsha and Owerri markets in Nigeria, were subjected to four different storage conditions namely: room temperature (RT), refrigerated (RF), 40 °C and 60 °C for 15 days after which they were analyzed for sodium benzoate concentration using HPLC – UV/Vis detector. The results showed on the average that at RT and RF, soft drinks from Aba had the highest concentration of sodium benzoate (98.7 mg/L and 112.9 mg/L) respectively while samples from Asaba had least concentration of 39.9 mg/L and 38.1 mg/L. At increased temperature of 40 °C, the concentration of sodium benzoate increased generally across the sample, while at 60 °C, the levels in all the samples analyzed were either reduced to less than 50% or below detection level, which suggest that degradation of sodium benzoate at this elevated temperature could result in benzene formation, which is a known carcinogen. Carcinogenic and non-carcinogenic risk assessment showed that children are at risk compared to adults due to higher sodium benzoate daily intake leading to high rate of hyperactivity in correlation to malaise.
The Effect of Flame Retardant—Aluminum Trihydroxide on Mixed Mode I/II Fracture Toughness of Epoxy Resin

Fire resistance is a major issue concerning composite materials for safe operation in many industrial sectors. The design process needs to meet safety requirements for buildings and vehicles, where the use of composites has increased. There are several solutions to increasing the flame resistance of polymeric materials, based on either chemical modification or physical additions to the material’s composition. Generally, the used flame retardants affect mechanical properties either in a positive or negative way. The presented research shows the influence of the mixed-mode behavior of epoxy resin. Fracture toughness tests on epoxy resin samples were carried out, to investigate the changes resulting from different inorganic filler contents of aluminum trihydroxide (ATH). Three-point bending and asymmetric four-point bending tests, with different loading modes, were performed, to check the fracture behavior in a complex state of loading. The results showed that the fracture toughness of mode I and mode II was reduced by over 50%, compared to neat resin. The experimental outcomes were compared with theoretical predictions, demonstrating that the crack initiation angle for higher values of KI/KII factor had a reasonable correlation with the MTS prediction. On the other hand, for small values of the factor KI/KII, the results of the crack initiation angle had significant divergences. Additionally, based on scanning electron microscopy images, the fracturing of the samples was presented.