Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhancing E-Learning Through Integration of Online Formative Assessment and Teaching Presence

The proliferation of information communication technologies (ICT) continues to increase opportunities for effective pedagogical approaches and online learning. This paper reports a study on integration of online formative assessment from a teaching presence perspective of the community of inquiry (CoI) framework. The effects of this integrative pedagogical approach on students' learning experiences are explored. The study was conducted in a post graduate online course. Case study research design was utilized. The study exemplified the core elements of formative assessment including integration of authentic assessment activities within teaching and learning processes, explicit learning goals, formative feedback, and documentation of evidence of learning. These elements were aligned to the functions of teaching presence, namely design, facilitation, and direct instruction. This approach enhanced meaningful engagement with critical learning experiences including interactive collaboration, critical thinking, reflective thinking, multi-dimensional perspectives, and self-regulation.
Influence of different obturation techniques in coronal bacterial infiltration: study in dogs

The objective of this study was to evaluate, in vivo, coronal bacterial infiltration after endodontic treatment with different obturation technique. Forty-five dogs’ root canals, originated from incisors and premolars, were used. The animals were intubated after general anesthesia. After local antisepsis and placement of rubber dam isolation, teeth were opened and instrumented up to a Kerr handfile #40, followed by three obturation protocols with Endofill: Research, Society and Development, v. 10, n. 4, e11010413884, 2021 (CC BY 4.0) | ISSN 2525-3409 | DOI: http://dx.doi. org/10.33448/rsd-v10i4.13884 2 Lateral condensation, Lateral condensation with a coronal plug of set Endofill and Tagger hybrid technique. Access openings were not sealed and root fillings remained exposed to oral environment for 90 days. After this period, animals were euthanized and specimens were histologically processed and stained with Brown and Brenn. Dentinal tubules were evaluated with presence or absence of bacteria descriptive analysis. Bacterial infiltration was identified on root canal walls in six out of 14 root canals filled with the lateral condensation technique (42,8%), two out of 15 canals filled with Lateral condensation with a plug of set Endofill (13,3%) and in two out 13 root canals filled with the Tagger hybrid technique (15,3%). Although the use of a coronal plug or a thermomechanical compaction technique showed less bacterial infiltration than conventional lateral condensation, none of the obturation techniques prevented bacterial infiltration to periapical area, evidencing the importance of a proper coronal seal or final restoration.
Fundamental Parameters of the Eclipsing Binary DD CMa and Evidence for Mass Exchange

We present a detailed photometric and spectroscopic analysis of DD CMa, based on published survey photometry and new spectroscopic data. We find an improved orbital period of P o = 2.0084530(6) days. Our spectra reveal Hβ and Hα absorptions with weak emission shoulders, and we also find a color excess in the Wide-field Infrared Survey Explorer multiband photometry, interpreted as signatures of circumstellar matter. We model the V-band orbital light curve derived from the ASAS and ASAS-SN surveys, assuming a semidetached configuration and using the mass ratio and temperature of the hotter star derived from our spectroscopic analysis. Our model indicates that the system consists of a B2.5 dwarf and a B9 giant of radii 3.2 and 3.7 R ⊙, respectively, orbiting in a circular orbit of radius 6.75 R ⊙. We also found M c = 1.7 ± 0.1 M ⊙, T c = 11,350 ± 100 K, and M h = 6.4 ± 0.1 M ⊙, T h = 20,000 ± 500 K, for the cooler and hotter star, respectively. We find broad single emission peaks in Hα and Hβ after subtracting the synthetic stellar spectra. Our results are consistent with mass exchange between the stars and suggest the existence of a stream of gas being accreted onto the early B-type star.
Bacteria-Mediated Synthesis of Silver and Silver Chloride Nanoparticles and Their Antimicrobial Activity

Within the frame of this work, the synthesis of silver nanoparticles (Ag NPs) and silver chloride nanoparticles (AgCl NPs) as mediated by microbes has been investigated. The nanoparticles were reduced from a silver nitrate precursor by the presence of bacteria, like Raoultella planticola and Pantoea agglomerans. The results show that the characteristic surface plasmon resonance absorption band occurs at about 440 nm. Nanoparticles were also characterized with the help of scanning electron microscopy (SEM), energy dispersive spectroscopy (EDS), transmission electron microscopy (TEM), and X-ray diffraction (XRD), which showed the formation of spherical Ag/AgCl NPs with a centered cubic crystal structure and a mean particle size of around 10–50 nm. Assays for antimicrobial activity of the biosynthesized nanoparticles demonstrated meaningful results against microorganisms such as Staphylococcus aureus, Streptococcus pyogenes, Salmonella, and Bacillus amyloliquefaciens. Furthermore, this study shows that the combination of the obtained nanoparticles with standard antibiotics may be useful in the fight against emerging microbial drug resistance.
Effect of Biostimulants on Yield and Quality of Cherry Tomatoes Grown in Fertile and Stressed Soils

Plant biostimulants are microorganisms (PGPR) and/or products obtained from different organic substances that positively affect plant growth and efficiency and reduce the negative effects of abiotic challenges. Effects of biostimulants on the plant growth, yield, mineral content, antioxidant enzyme activity, H2O2, malondialdehyde (MDA), sucrose, and proline contents of cherry tomato (Solanum lycopersicum var. cerasiforme L.) grown in soils with two different characteristics were investigated during a pot study under greenhouse conditions. Soil I was a fertile routinely vegetable-cultivated soil. Soil II had high salinity, high CaCO3 content, and low organic matter content. Commercial biostimulant products Powhumus® (PH), Huminbio Microsense Seed® (SC), Huminbio Microsense Bio® (RE), and Fulvagra® (FU) were used as seed coatings and/or drench solutions. All biostimulant treatments improved the plant growth and yield compared with the control in both soils. All biostimulant applications were more effective in soil II than in soil I. RE was the most effective application for mineral content in soil I, whereas FU was the most effective in soil II. Antioxidant activity, H2O2, MDA, and proline contents were decreased in both soils when biostimulants were used compared with the control. Peroxide (POD) activity was greater with SC1 in soil II. The RE treatment increased the sucrose content in soil II. In conclusion, single and combined use of high-purity fulvic acid and PGPR had positive effects on the growth of cherry tomato in fertile soil and under stressed conditions.
Non-linear thermal resistance model for the simulation of high power GaN-based devices

We report on the modeling of self-heating in GaN-based devices. While a constant thermal resistance is able to account for the self-heating effects at low power, the decrease of the thermal conductance of semiconductors when the lattice temperature increases, makes necessary the use of temperature dependent thermal resistance models. Moreover, in order to correctly account for the steep increase of the thermal resistance of GaN devices at high temperature, where commonly used models fail, we propose a non-linear model which, included in an electro-thermal Monte Carlo simulator, is able to reproduce the strongly non-linear behavior of the thermal resistance observed in experiments at high DC power levels. The accuracy of the proposed non-linear thermal resistance model has been confirmed by means of the comparison with pulsed and DC measurements made in devices specifically fabricated on doped GaN, able to reach DC power levels above 150 W mm−1 at biases below 30 V.
Experimental evaluation of electrical conductivity imaging of anisotropic brain tissues using a combination of diffusion tensor imaging and magnetic resonance electrical impedance tomography

Anisotropy of biological tissues is a low-frequency phenomenon that is associated with the function and structure of cell membranes. Imaging of anisotropic conductivity has potential for the analysis of interactions between electromagnetic fields and biological systems, such as the prediction of current pathways in electrical stimulation therapy. To improve application to the clinical environment, precise approaches are required to understand the exact responses inside the human body subjected to the stimulated currents. In this study, we experimentally evaluate the anisotropic conductivity tensor distribution of canine brain tissues, using a recently developed diffusion tensor-magnetic resonance electrical impedance tomography method. At low frequency, electrical conductivity of the biological tissues can be expressed as a product of the mobility and concentration of ions in the extracellular space. From diffusion tensor images of the brain, we can obtain directional information on diffusive movements of water molecules, which correspond to the mobility of ions. The position dependent scale factor, which provides information on ion concentration, was successfully calculated from the magnetic flux density, to obtain the equivalent conductivity tensor. By combining the information from both techniques, we can finally reconstruct the anisotropic conductivity tensor images of brain tissues. The reconstructed conductivity images better demonstrate the enhanced signal intensity in strongly anisotropic brain regions, compared with those resulting from previous methods using a global scale factor.
Sunflower Husk Biochar as a Key Agrotechnical Factor Enhancing Sustainable Soybean Production

Climate change has a decisive impact on the physical parameters of soil. To counteract this phenomenon, the ongoing search for more effective agri-technical solutions aims at the improvement of the physical properties of soil over a short time. The study aimed to assess the effect of biochar produced from sunflower husks on soil respiration (SR), soil water flux (SWF), and soil temperature (ST), depending on its dose and different soil cover (with and without vegetation). Moreover, the seed yield was assessed depending on the biochar fertilization. Field experiments were conducted on Calcaric/Dolomitic Leptosols (Ochric soil). SR, ST, and SWT were evaluated seven times in three-week intervals during two seasons, over 2018 and 2019. It was found that the time of biochar application had a significant effect on the evaluated parameters. In the second year, the authors observed significantly (p < 0.005) higher soil respiration (4.38 µmol s−1 m−2), soil temperature (21.2 °C), and the level of water net transfer in the soil (0.38 m mol s−1 m−2), compared to the first year. The most effective biochar dose regarding SR and soybean yield was 60 t ha−1. These are promising results, but a more comprehensive cost-benefit analysis is needed to recommend large-scale biochar use at this dose.
Formation of Environmentally Friendly Tourist Behaviors in Ecotourism Destinations in China

The rapid development of ecotourism provides a win–win path for ecological and environmental protection and sustainable economic development. However, environmental problems are increasingly prominent in ecotourism destinations, which seriously hinders their sustainable development. This study explored how environmental knowledge, environmental perceived value, perceived consumption effectiveness, and environmental attitudes stimulate and shape environmentally friendly tourist behaviors. A sample survey of 406 tourists at Taibai Mountain National Nature Reserve in China was conducted, and structural equation modeling (SEM) was used to assess the causal relationships in the formation of environmentally friendly behaviors. The results show that environmental knowledge has a significant positive impact on environmental attitudes, environmental perceived value, and perceived consumption effectiveness. Further, environmental perceived value has a significant positive impact on environmental attitudes and environmentally friendly behavior; environmental attitudes and environmental behavior have a significant positive impact; environmental awareness has a significant positive impact on environmental behaviors; and perceived consumption effectiveness has a significant positive impact on environmentally friendly behaviors and is the most important direct predictor. Overall, the results reveal the formation mechanism of environmental friendly behavior, and provide a scientific basis and theoretical support for the stimulation and shaping of environmentally friendly tourist behaviors in ecotourism destinations.
Daytime Equatorial Spread F‐Like Irregularities Detected by HF Doppler Receiver and Digisonde

Daytime equatorial spread F (ESF) is not as common as nighttime ESF due to the presence of a highly conducting E‐layer during the daytime which counteracts the development of F‐layer plasma irregularities. This study presents two rare daytime ESF‐like events which occurred over an interval ∼2 h and were detected by the HF Doppler receiver located in Lagos (LAG: geographic: 3.27°E, 6.48°N; dip latitude −1.72°) and the Lowell Digisonde at Ilorin (ILR; 4.68°E, 8.50°N; dip latitude −1.25°), managed by Lowell GIRO Data Center (LGDC). Analysis of the first event revealed ∼30 min periodic oscillations in iso‐heights of ionospheric electron density. Shorter period (∼15 min) oscillations appeared simultaneously in HF Doppler measurements and these oscillations lasted nearly 3 h. Close inspection of the ionograms from ILR during this interval (1500–1800 UT) showed the occurrence of small‐scale spreading in the F‐layer trace which varied in altitude as the disturbance progressed. Computation of the linear growth rate of the collisional Rayleigh‐Taylor instability showed that the plasma instability was seeded by a traveling ionospheric disturbance (TID). The characteristics of the second event suggest that horizontal stratifications in plasma density distribution at the reflecting ionospheric layer were responsible for the spread F traces in the ionograms. Analysis of GPS TEC data from Nigeria during these events revealed the presence of wave structures consistent with TIDs.
Iron‐Mediated Organic Matter Preservation in the Mississippi River‐Influenced Shelf Sediments

Continental shelves are important land–ocean interfaces where natural and anthropogenic processes as well as sediment geochemistry regulate organic matter sequestration. The major objective of this work is to understand spatial variability in reactive iron (rFe) bound organic carbon (OC) during low‐ and high‐flow conditions in the recent sediments of the Mississippi River‐influenced Louisiana shelf in the Northern Gulf of Mexico. Sediment samples were collected from five sites along the river plume during low (August 2016) and high (May 2017) discharge. Reactive iron was significantly higher in May (6.9 ± 1.7 mg g−1dw) compared to August (4.3 ± 0.9 mg g−1dw), while OC in August (11.9 ± 3.7 mg g−1dw) and May (7.8 ± 4.8 mg g−1dw) was similar. The fraction of OC bound to rFe (Fe‐OC) in the sediment in May (2.4 ± 1.5 mg g−1dw) was not significantly different from August (3.7 ± 2.7 mg g−1dw). Molar OC:Fe ratios in the rFe‐associated OC ranged between 0.9 and 6.2, with higher ratios in the deeper sediments (6–20 cm). Our results show that 31.7% ± 6.2% of the total OC in the recent sediments is associated with the rFe phase. Sediment mineralogical composition was characterized using X‐ray diffractometry and Fe‐K edge X‐ray absorption near edge structure spectroscopy. Our findings indicate that most of the iron is present as nonreactive iron in clay mineral smectite and the dominant form of rFe associated with OC is goethite.
Estimation de l'écotoxicité de substances chimiques par des méthodes à noyaux

Dans le domaine de la chimie et plus particulierement en chimio-informatique, les modeles QSAR (pour Quantitative Structure Activity Relationship) sont de plus en plus etudies. Ils permettent d’avoir une estimation in silico des proprietes des composes chimiques notamment des proprietes eco toxicologiques. Ces modeles ne sont theoriquement valables que pour une classe de composes (domaine de validite) et sont sensibles a la presence de valeurs atypiques. La these s’est focalisee sur la construction de modeles globaux robustes (integrant un maximum de composes) permettant de predire l’ecotoxicite des composes chimiques sur une algue P. Subcapitata et de determiner un domaine de validite dans le but de deduire la capacite de prediction d’un modele pour une molecule. Ces modeles statistiques robustes sont bases sur une approche quantile en regression lineaire et en regression Support Vector Machine.
Developing mitochondrial DNA field-compatible tests

Abstract Nucleic acid-based molecular detection of mitochondrial DNA (mtDNA) has been used for the detection of eukaryotic pathogens, genetic markers, and biomedical studies in humans and animals, forensic investigation, conservation biology, and environmental monitoring. Currently available molecular mtDNA testing is predominately dependent on relatively expensive laboratory equipment, which limits test applicability for on-site field testing. Recent technical advances in molecular testing of mtDNA using microfluidic chip technology and paper-based methods, and assays based on isothermal nucleic acid amplification show promise for field assay development. Microfluidic and paper-based components for mtDNA sample preparation and isothermal amplification establish the groundwork for targeted detection. The goal is on-site field detection mtDNA assays that combine sample processing, assay setup, and visual representation of the presence of mtDNA. This review examines advantages and disadvantages of alternative field-compatible tests for on-site detection of mtDNA. Despite challenges, developing an integrated “sample-through detection” field test platform is the future direction for mtDNA molecular detection in environmental samples. Graphical Abstract
A Scalable Semi‐Implicit Barotropic Mode Solver for the MPAS‐Ocean

A scalable semi‐implicit barotropic mode solver for the ocean component of the model for prediction across scales has been implemented as a competitor to an existing explicit‐subcycling scheme to allow faster and more stable simulations while not sacrificing accuracy. The semi‐implicit solver adopts the pipelined preconditioned bi‐conjugate gradient stabilization algorithm as an iterative solver in conjunction with the restricted additive Schwarz preconditioner that accelerates the convergence rate of the iterative solver. The preconditioner is constructed from a linearized barotropic system that also reorders the system for optimal performance, while the semi‐implicit solver deals with the fully nonlinear barotropic system that requires reassembly of the coefficient matrix for every time step. Several numerical experiments, from simple one‐dimensional tests to three‐dimensional real‐world tests, demonstrate that the semi‐implicit solver has almost the same accuracy and better parallel scalability compared with the existing scheme while allowing faster and more stable simulations. The semi‐implicit solver accelerates the barotropic mode up to 2.9 times faster than the existing scheme on 16,320 processors, leading to an overall runtime speedup of 1.9.
Motivations, challenges, and process support for the evolution of existing software to mobile computing platforms

Software maintenance and evolution support changes in the structure and behavior of existing software to change it as per the needs and demands of new requirements. The majority of the existing software systems lack features of mobile computing such as portability, context-awareness, connectivity, and high interactivity. The evolution of the existing software for mobile computing platforms can enable these systems to retain their core data and logic while acquiring new features that are compatible with mobile systems. The objectives of this research are to (i) systematically identify the motivations and challenges of software evolution for mobile computing, and (ii) develop and validate a process model that supports the evolution of existing software to a mobile computing platform. To conduct this research, an empirical software engineering approach has been adopted to investigate existing solutions (30 published studies from 1996 to 2019) and empirically derive a process model that supports software evolution for mobile computing. A case study-based approach is adopted to demonstrate the process-centric evolution of existing software as a mobile-enabled application. Case study-based demonstration highlights that the proposed process (i) supports an incremental evolution and (ii) allows user-decision support to guide the evolution process. Evaluation results highlight computation and energy efficiency along with enhanced usability of a mobile application when executed on resource-constrained mobile devices. The results of this research could help researchers and practitioners to rationalize motivations and challenges to utilize a process-based approach to evolve existing or aging software for mobile computing platforms. Future research is focused on providing patterns and tool support to automate and customize the evolution process.
Investigating Coupled Train-Bridge-Bearing System Under Earthquake- and Train-Induced Excitations

The dynamic interaction between a bridge and a moving train has been widely studied. However, there is a significant gap in our understanding of how the presence of isolation bearings influences the dynamic response, especially when an earthquake occurs. Here, we formulate a coupled model of a train-bridge-bearing system to examine the bearings’ dynamic effects on the system responses. In the analysis, the train is modeled as a moving oscillator, the bridge is a one span simply supported beam and one isolation bearing is installed under each support of the bridge. A mathematical model using fractional derivatives is used to capture the viscoelastic properties of the bearings. The vertical response is the focus of this investigation. Dynamic substructuring is used in modeling to efficiently capture the coupled dynamics of the entire system. Illustrative numerical simulations are carried out to examine the effects of the bearings. The results demonstrate that although the presence of bearings typically decreases the bridge seismic responses, there is a potential to increase the bridge response induced by the moving train.