Miracle-dz/UniFAR-FTUs huggingface dataset:
Project-Based Teaching in Organic Chemistry through Blended Learning Model to Develop Self-Study Capacity of High School Students in Vietnam

Developing students’ self-study capacity is an urgent task of high schools in the current educational renovation period in Vietnam. This article presents research findings on developing self-study capacity for students through building and organizing teaching activities of 11th-grade organic chemistry project topics according to the blended learning model. The pedagogical experiment was conducted at three high schools in the north, central, and south regions of Vietnam with 125 students. The data obtained from the teacher’s assessment and the students’ self-assessment showed obvious development of students’ self-study capacity in experimental classes.
Polyphenol Conjugates by Immobilized Laccase: The Green Synthesis of Dextran‐Catechin

Dextran-catechin conjugate with high functionalization degree is synthesized by using a fully green process based on the chemistry of laccase immobilized on hydrogel film. By UV-induced radical polymerization, the enzyme is immobilized into acrylate hydrogel film resulting in a highly performing biocatalyst (residual catalytic activity of 60% upon immobilization). 1H-NMR studies of dextran-catechin conjugate allow the elucidation of the reaction mechanism and the assessment of the functionalization degree (128 mg of catechin per gram of conjugate). Cell viability studies performed in neuroblastoma cells clearly prove the anticancer potential of the conjugate (IC50 value of 17.03 μg mL−1) while being well tolerated by nonmalignant cells. The efficiency of this conjugate is found to be similar to dextran-catechin, previously prepared by free radical reaction. This novel green approach of synthesis for dextran-catechin opens new perspectives for the environmentally sustainable development of novel natural derived drugs to treat neuroblastoma and other cancers.
Temperature Profile Modelling in Flexible Pavement Design

Abstract—The temperature effect on asphalt pavement structure is a crucial factor at the design stage. In this paper, by applying the German guidelines for temperature along the asphalt depth is estimated. The aim is to consider temperature profiles in different seasons in numerical modelling. The model is built with an elastic and isotropic solid element with 19 subdivisions of asphalt layers to reflect the temperature variation. Comparison with the simple threelayer pavement system (asphalt layers, base, and subgrade layers) will be followed to see the difference in result without temperature variation along with the depth. Finally, the fatigue life calculation was checked to prove the validity of the methodology of considering the temperature in the numerical modelling.
Reaction of dithiocarbamates with malononitrile dimer; simple synthesis of new 1,4-dihydropyridine-2-thiols

Dithiacarbamates reacted with malononitrile dimer to give 1,4-dihydropyridine-2-thiols. The structures of the obtained products were proven by IR, mass, and NMR spectra and elemental analyses. The reaction mechanism is also discussed. GRAPHICAL ABSTRACT
The role of surface energy of boron nitride on gross melt fracture elimination of polymers

Experiments were carried out to measure the surface energy of boron nitride (BN) powders. A reliable procedure has been developed for measurement of surface energy of powders using the capillary rise technique based on Washburn's equation. It is measured by finding the contact angle from liquid penetration experiments with polar and non-polar liquids. Both the dispersive and non-dispersive components of surface energy are determined. The results of the surface energy of BN powders has been found to correlate well with the critical shear rate for the onset of melt fracture, indicating the importance of surface energy in the procedure of selecting an effective processing aid. In addition, experiments were carried out in both an Instron capillary rheometer equipped with a special annular die (Nokia Maillefer wire coating cross-head) and a parallel-plate rheometer to investigate the effect of a new processing additive (boron nitride powder in combination with a fluoroelastomer) on the rheology and processability of molten polymers. Metallocene polyethylenes with and without boron nitride (BN) and fluoroelastomer are tested in extrusion. First, it is demonstrated that B N is a superior processing aid compared to conventional fluoropolymer ones. Secondly, it is found that the combination of B N powders with a small amount of a fluoroelastomer improves even further the processability of molten polymers. They can essentially be processed at higher shear rates without exhibiting gross melt fracture. DSC and T G A experiments using polymer specimens with and without BN were also carried out to investigate the mechanism by which gross melt fracture is being eliminated in the presence of boron nitride.
Three-dimensional distribution of fine particulate matter concentrations and synchronous meteorological data measured by an unmanned aerial vehicle (UAV) in Yangtze River Delta, China

Abstract. Three-dimensional distribution of fine particulate matter (PM2.5) and meteorological factors are of great importance to clarify the formation mechanism of haze pollution and to help forecast atmospheric pollution under different meteorological conditions. The objective of this study was to measure PM2.5 concentrations and meteorological data at 300–1000 m altitude using an unmanned aerial vehicle (UAV) equipped with mobile instruments. The study was conducted in a 4 × 4 km2 space in Lin'an, Yangtze River Delta (YRD), China. The UAV was operated repeatedly for four times in one day along the designed route spirally from the ground to 1000 m altitude with a total of 8 layers and a 100 m interval between two adjacent layers for five days from 21th August 2014 to 2nd February 2015. PM2.5, air temperature, relative humidity, dew point temperature and air pressure were measured during the data collection. The study results indicated that the PM2.5 concentrations decreased with altitude at 300–1000 m and the variations of PM2.5 with altitude in morning flights were much bigger than in afternoon flights. Besides, the PM2.5 concentration levels in morning flights were generally lower than in afternoon flights. PM2.5 concentrations were positively correlated with dew point temperature and pressure, but positively correlated with relative humidity only on pollution days in autumn or winter. The vertical gradient of PM2.5 concentrations was small in pollution days compared with on clean days. These findings provide the key theoretical foundation for PM2.5 pollution forecast and environmental management.
LIQUORICE BEVERAGE EFFECT ON THE PHARMACOKINETIC PARAMETERS OF ATORVASTATIN, SIMVASTATIN, AND LOVASTATIN BY LIQUID CHROMATOGRAPHY-MASS SPECTROSCOPY/MASS SPECTROSCOPY

ABSTRACT Objective: The objective of this study is to examine the effects of pre-consumption of freshly prepared liquorice beverage (4 ml/kg) on the pharmacokinetic (PK) parameters of (80 mg/kg) oral dose of atorvastatin, simvastatin, and lovastatin in healthy rats plasma. Methods: A simple, rapid, and applicable analytical method was developed for the determination of each statin in rats’ plasma. This method uses liquid chromatography-mass spectroscopy/mass spectroscopy. The mobile phase composed of methanol and formic acid in water and glimepiride as an internal standard. 108 rats were used in this study. Liquorice juice was given, and then each of the statins was given to test groups and liquorice only to the control groups, and then plasma samples were withdrawn on specific time schedule then PK analysis was performed. Results: The analytical method showed acceptable linearity, recovery, precision, and accuracy. Administration of liquorice resulted in a significant increase in maximum concentration in plasma (C ) of the three statins, also the area under plasma level-time curves (area under curve) was increased significantly. Moreover, the bioavailability of the drugs. On the other hand, the elimination of the three drugs showed no great changes, which suggests an interaction between liquorice and the transporting system of statins on the gut and biliary wall. max Conclusion: Consumption of liquorice results in increase bioavailability of atorvastatin, simvastatin, and lovastatin. Keywords: Liquorice, Atorvastatin, Liquid chromatography-mass spectroscopy/mass spectroscopy, Simvastatin, Lovastatin, Pharmacokinetic parameters.
Rumination as a mechanism of the association between interpretation bias and depression symptoms: A longitudinal investigation

Depression is a common problem with debilitating effects. Both negative interpretation biases and rumination are related to depression, but how these factors interact to produce depression is unclear. Prior cross-sectional research indicates that negative interpretation biases have an indirect effect on depression symptoms through rumination, but to date, no longitudinal studies have examined this indirect effect, and prior studies have not differentiated between rumination subtypes. To examine these questions, data were collected online at three time points from undergraduates. Simple mediational models examined whether negative interpretation bias had an indirect effect on depression symptoms through rumination and rumination subtypes (brooding and reflection), and reverse models examined direction of effects. Cross-sectional analysis supported prior findings that interpretation bias had an indirect effect on depression symptoms through rumination, β = −. 19, 95%CI [−. 23, −. 14], through both brooding, β = −. 14, 95%CI [−. 18, −. 10], and reflection subtypes, β = −. 09, 95%CI [−. 12, −. 05]. However, longitudinal analyses found no indirect effects of interpretation bias on depression symptoms through rumination, β = −. 02, 95%CI [−. 07, . 02]; brooding: β = −. 02, 95%CI [−. 06, . 01], reflection: β = . 01, 95%CI [−. 02, . 04]. These longitudinal results contradict findings that cognitive biases lead to depression symptoms through rumination. The complex interplay between cognitive biases, rumination, and depression remains an important direction for future research.
Impact of the Digital Literacy Courses Taken by the Prospective Social Studies Teachers by Distance Learning on Digital Citizenship Skills

Abstract The purpose of this study is to determine the efficacy of the digital literacy course taught to undergraduates with the cooperation of the Council of Higher Education (CHE) and Anadolu University on the ‘digital citizenship skills’ of social sciences teachers. In this context, 30 prospective social sciences teachers who received digital literacy training participated in the study, which employed criterion sampling, a purposive sampling technique. The study followed a pre-test and post-test uncontrolled quasi-experimental model. The digital literacy course process by distance learning covered eight weeks. At the beginning and the end of the digital literacy course, a ‘digital citizenship’ scale was applied to the prospective teachers. In research results, a significant positive difference was detected between the pre-test and post-test scores of prospective teachers obtained from the whole of the digital citizenship skills scale. Between pre-test and post-test scores of ‘digital communication’, ‘digital ethics’, and ‘critical thinking’ sub-dimensions of the digital citizenship scale, a significant difference was not detected. On the other hand, a positive significant difference was detected between scores from its digital skills, digital participation, digital rights and responsibilities, and digital commerce sub-dimensions. Similarly, between digital security points, which is another sub-dimension of the study, a significant difference was detected, though this difference was found to be negative. In this context, it is proposed that similar training should be made more common, more functional subjects in digital topics that teachers do not know should be the focus rather than those prospective teachers are expected to know, some changes regarding digital security must be implemented in institutions that teach the digital literacy course with distance learning and that these should enrich this subject further.
Ligand Dynamics of Drug-Loaded Microporous Zirconium Terephthalates-Based Metal–Organic Frameworks: Impact of the Nature and Concentration of the Guest

Impact of encapsulation of model drug molecules bearing different chemical features (caffeine or ibuprofen) over the molecular dynamics of a series of functionalized zirconium terephthalate UiO-66(Zr) type metal–organic frameworks was investigated by dielectric relaxation spectroscopy. If the rotational motions of the ligands are more significantly perturbed by the guest dimension and loading rather than their chemical features, the dynamics strongly depends on the nature of the functional group of the terephthalate ligand, as shown typically when comparing the amino- or bromo-functionalized forms. While for UiO-66(Zr)–NH2 the dynamics of the ligands is partially enhanced in the presence of both drugs, the scenario differs for the bromo form which shows a slower dynamics. This is discussed from a qualitative analysis of the global interactions within these solids as a matter of the ligand/framework and ligand/guest molecules pairs of interactions.
A fitted radiance and attenuation model for realistic atmospheres

We present a fitted model of sky dome radiance and attenuation for realistic terrestrial atmospheres. Using scatterer distribution data from atmospheric measurement data, our model considerably improves on the visual realism of existing analytical clear sky models, as well as of interactive methods that are based on approximating atmospheric light transport. We also provide features not found in fitted models so far: radiance patterns for post-sunset conditions, in-scattered radiance and attenuation values for finite viewing distances, an observer altitude resolved model that includes downward-looking viewing directions, as well as polarisation information. We introduce a fully spherical model for in-scattered radiance that replaces the family of hemispherical functions originally introduced by Perez et al., and which was extended for several subsequent analytical models: our model relies on reference image compression via tensor decomposition instead.
Towards Photorealistic Visualizations for Plasma Confinement Simulations

As the world moves away from traditional energy sources, based on fossil fuels, one promising clean alternative source is nuclear fusion. To accelerate the required breakthroughs in that community, numerical simulations and scientific visualizations over high-performance computing systems are mandatory. The proper display of data resulting from the simulation is key to the design, tune-up, and dissemination of nuclear fusion reactors. We present a computer-graphics model that uses the output of numerical simulations to create visually plausible images of plasma confinement. The model is based on a combination of computer graphics techniques implemented on a ray-tracing framework.
Displaced signed distance fields for additive manufacturing

We propose displaced signed distance fields, an implicit shape representation to accurately, efficiently and robustly 3D-print finely detailed and smoothly curved surfaces at native device resolution. As the resolution and accuracy of 3D printers increase, accurate reproduction of such surfaces becomes increasingly realizable from a hardware perspective. However, representing such surfaces with polygonal meshes requires high polygon counts, resulting in excessive storage, transmission and processing costs. These costs increase with print size, and can become exorbitant for large prints. Our implicit formulation simultaneously allows the augmentation of low-polygon meshes with compact meso-scale topographic information, such as displacement maps, and the realization of curved polygons, while leveraging efficient, streaming-compatible, discrete voxel-wise algorithms. Critical for this is careful treatment of the input primitives, their voxel approximation and the displacement to the true surface. We further propose a robust sign estimation to allow for incomplete, non-manifold input, whether human-made for onscreen rendering or directly out of a scanning pipeline. Our framework is efficient both in terms of time and space. The running time is independent of the number of input polygons, the amount of displacement, and is constant per voxel. The storage costs grow sub-linearly with the number of voxels, making our approach suitable for large prints. We evaluate our approach for efficiency and robustness, and show its advantages over standard techniques.
An inverse method for the exploration of layered material appearance

Layered materials exhibit a wide range of appearance, due to the combined effects of absorption and scattering at and between interfaces. Yet most existing approaches let users set the physical parameters of all layers by hand, a process of trial and error. We introduce an inverse method that provides control over BRDF lobe properties of layered materials, while automatically retrieving compatible physical parameters. Our method permits to explore the space of layered material appearance: it lets users find configurations with nearly indistinguishable appearance, isolate grazing angle effects, and give control over properties such as the color, blur or haze of reflections.
DAG amendment for inverse control of parametric shapes

Parametric shapes model objects as programs producing a geometry based on a few semantic degrees of freedom, called hyper-parameters. These shapes are the typical output of non-destructive modeling, CAD modeling or rigging. However they suffer from the core issue of being manipulated only indirectly, through a series of values rather than the geometry itself. In this paper, we introduce an amendment process of the underlying direct acyclic graph (DAG) of a parametric shape. This amendment enables a local differentiation of the shape w.r. t. its hyper-parameters that we leverage to provide interactive direct manipulation of the output. By acting on the shape synthesis process itself, our method is agnostic to the variations of the connectivity and topology that may occur in its output while changing the input hyper-parameters. Furthermore, our method is oblivious to the internal logic of the DAG nodes. We illustrate our approach on a collection of examples combining the typical nodes found in modern parametric modeling packages - such as deformation, booleans and surfacing operators - for which our method provides the user with inverse control over the hyper-parameters through a brush stroke metaphor.
Discrete conformal equivalence of polyhedral surfaces

This paper describes a numerical method for surface parameterization, yielding maps that are locally injective and discretely conformal in an exact sense. Unlike previous methods for discrete conformal parameterization, the method is guaranteed to work for any manifold triangle mesh, with no restrictions on triangulatiothat each task can be formulated as a convex problem where the triangulation is allowed to change---we complete the picture by introducing the machinery needed to actually construct a discrete conformal map. In particular, we introduce a new scheme for tracking correspondence between triangulations based on normal coordinates, and a new interpolation procedure based on layout in the light cone. Stress tests involving difficult cone configurations and near-degenerate triangulations indicate that the method is extremely robust in practice, and provides high-quality interpolation even on meshes with poor elements.
Investigation of Moisture Sorption, Permeability and Drug Release Behavior of Carrageenan/Poly Vinyl Alcohol Films

* S. K. Bajpai, P. Dehariya and S. P. S. Saggu * Polymer Research Laboratory, Department of Chemistry, Govt. Model Science College, Jabalpur (M.P) – 482001, India. Email: * sunil.mnlbpi@gmail.com ABSTRACT This work describes moisture sorption behavior and water vapor permeability of gluteraldehyde –crosslinked Carrageenen/polyvinyl alcohol (Carr/PVA) films. The moisture uptake has been studied under various relative humidity (RH) and the data obtained has been interpreted in the terms of various isotherm models such as GAB, Oswin and Halsey models. The moisture permeability through the films has been characterized in the terms of various parameters like water vapor transmission rate (WVTR), permeance (P) and Water vapor permeability (WVP). It was found that these parameters are greatly affected by the degree of crosslinking of the films. Finally, the model drug Gentamycin Sulphate was loaded in to the films and its release was monitored kinetically in the physiological buffer (PF) at 37C. The films exhibited diffusion controlled release mechanism.
From First Principles Design to Realization of Bimetallic Catalysts for Ultrahigh Selectivity - Final Project Report

(A) Synthesis, Characterization, and Fundamental Properties of Bimetallic DENs. AuAg alloy and core/shell bimetallic DENs were synthesized and characterized. Selective extraction was used as a structural characterization tool for these bimetallic nanoparticles. This is significant because there are few easily accessible methods for structure elucidation of bimetallic nanoparticles in this size regime. As a first step towards the synthesis of catalytically active, bimetallic heterogeneous materials we reported the incorporation of Au and Pd monometallic DENs and AuPd bimetallic DENs into amorphous titania networks. The compositional fidelity of the original DENs, and to some extent their size, is retained following dendrimer removal. Gas-phase catalytic activity for CO oxidation is higher for the bimetallic catalysts than for the corresponding Pd-only and Au-only monometallics. (B) Electrocatalysts based on dendrimer-encapsulated nanoparticles. Platinum dendrimer-encapsulated nanoparticles (DENs) were prepared within fourth-generation, hydroxyl-terminated, poly(amidoamine) dendrimers and immobilized on glassy carbon electrodes using an electrochemical immobilization strategy. X-ray photoelectron spectroscopy, electron microscopy, and electrochemical experiments confirm that the Pt DENs are about 1.4 nm in diameter and that they remain within the dendrimer following surface immobilization. The resulting Pt DEN films were electrocatalytically active for the oxygen reduction reaction (ORR). The films are also robust, surviving up tomore » 50 consecutive cyclic voltammograms and sonication. Monometallic Pd DENs were also prepared and found to have little catalytic activity for the ORR. However, PtPd bimetallic DENs had catalytic activity nearly identical to that found for Pt-only DENs. This indicates an overall catalytic enhancement for the bimetallic electrocatalysts. « less
Alleviation of Alkalinity-Induced Fe Deficiency in Eggplant (Solanum melongena L.) by Foliar Application of Different Fe Sources in Recirculating System

This study was carried out to investigate the effects of foliar sprays of different iron (Fe) sources on eggplant grown in alkaline aquaponic solutions. Four treatments were used, untreated control, foliar application of iron sulfate (FeSO4), ferric ethylenediaminetetraacetic acid (Fe-EDTA) and ferric ethylenediamine bis(2-hydroxyphenyl)acetic acid (Fe-EDDHA). The results showed that overall growth was significantly increased by foliar Fe application, and the highest values of vegetative growth parameters were recorded in plants treated with FeSO4. The Fe treatment led to a significant increase of shoot Fe concentration, and the highest Fe was observed in plants sprayed with FeSO4, compared to Fe-EDTA and Fe-EDDHA. The lowest chlorophyll content was observed in untreated plants. The highest SPAD index, maximal quantum yield of photosystem (PS II) photochemistry (Fv/Fm) and performance index (PI) values of young and old leaves were found with FeSO4 treatment. It is concluded that application of foliar Fe must be performed in the aquaponic system, to overcome Fe deficiencies in alkaline conditions.