Miracle-dz/UniFAR-FTUs huggingface dataset:
Influence of Emotional Appeals in Television Cosmetics Advertisements on Purchase Decisions of Female Students of Higher Institutions in Niger State, Nigerian

- One strategy that advertisers use to influence purchase decisions is the employment of advertising appeals. Cosmetics companies often use emotional appeals to arouse consumer desire and purchase decisions. However, what is not certain is whether emotional appeals in cosmetics advertisements influence consumers to buy the products. Thus, this study sought to determine whether emotional appeals in cosmetics advertisements influenced students' purchase decisions in higher institutions in Niger State, Nigeria. The Hierarchy of Effect Model was used as a theoretical basis for the study. Mixed-Method, comprising Survey and Focus Group Discussion, was adopted while simple percentage, frequency, and regression analysis were used to analyze it. A sample of 377 respondents was used while the Focus Group Discussion comprised two groups of 14 participants. The findings revealed that apart from students being influenced by emotional appeals, patronage for the products is high. A significant number are also strongly influenced to patronize cosmetics products when their emotions are appealed to by advertisements using celebrities and the perceived quality of the products. Respondents also perceived cosmetics adverts as educative, informative, and entertaining. The study recommended that cosmetics companies take advantage of the leverage offered by emotional appeals especially in TV adverts to enlarge or sustain their market share and improve patronage. It is clear that advert impressions stimulate the students' purchase of cosmetics; by implication, consumers.
Living Arrangement and Mothers’ Employment in Japan

This paper tests the effect of living arrangement on the probability of mothers’ employment status in Japan using micro-data from a household survey. The analysis was conducted for grandmothers by focusing on distinguishing between grandmother and in-law. The father being the eldest son and the mother being the eldest daughter are used as instruments in bivariate probit models. The findings show that co-residing or proximate-residing grandmother (-in-law) increases the probability of mothers being in employment. That being said, Japanese mothers still need to get help from grandmothers to work. Other important findings indicate that mothers whose husbands are the eldest son tend to live with grandmother-in-law. This confirms that the Japanese norm still stands in modern Japan.
Factors Shaping EFL Preservice Teachers’ Identity Configuration

Preservice EFL teachers face many challenges when developing their practicum. Such an experience shapes their identity and influences the teaching and learning processes. This descriptive case study is about preservice teachers’ identity formation and the factors that shaped their identity configurations during a practicum course offered at a state university in Colombia. Data, collected through interviews, reflective journals, and drawing-derived metaphors were analyzed using thematic analysis. The results identified participants’ value/belief system, personality traits, context, pedagogical decisions, reflective practice, and critical incidents as influential factors in their identity formation process. The findings also revealed that identity can be constructed through the intersection between the different experiences they go through during their practicum and their past and future trajectories. The study suggests that EFL teacher education programs should take explicit pedagogical actions to incorporate the identified factors in their curriculum. This could strengthen EFL preservice teachers’ identity configurations and prepare them better for their future teaching roles.
Sodium and potassium effects on cation concentration and yield of lucerne and phalaris grown separately and together

Abstract Lucerne (Medicago sativa L.) and phalaris (Phalaris aquatica L.) were grown separately and together in a pot trial on a yellow‐brown pumice soil with three rates of sodium (Na) and two rates of potassium (K) in factorial combination. Lucerne alone had a low Na concentration but growing phalaris as a companion grass produced herbage with a Na concentration adequate for stock. Na application increased the Na concentration in phalaris and the mixture of phalaris and lucerne much more than in lucerne alone; had little effect on K concentration; slightly reduced Mg concentration; and greatly reduced Ca concentration but not as much in lucerne as in phalaris or the mixture with lucerne. K application increased K concentration and reduced Na, Ca and Mg concentrations throughout. Yield of phalaris grown alone and in combination with lucerne was increased significantly by Na application when K concentration in the plants was low. Yield of lucerne was not affected by Na application and it is concluded that.
Compositional, Physical, Antioxidant and Sensory Characteristics of Novel Syrup from Date Palm (Phoenix dactylifera L.)

This study is a contribution to valorise date palm sap (Phoenix dactylifera L.) by elaboration of high quality syrup. Sap was concentrated by evaporation and the obtained product was characterized by its physicochemical, rheological, thermal, sensory properties and by its antioxidant activity. Syrups from date palm sap have a good nutritional value marked by high amounts of sugars (58—75 g/100 g fresh matter basis), minerals (2.1—2.6 g/100 g fresh matter basis) and phenolics (147.61—224.55 mg of ferulic acid equivalents/kg fresh weight). Syrup also presents an antioxidant activity that appears related to total phenolic content. Rheological properties indicate that syrup preserves a Newtonian behavior from 10 °C to 55 °C well modeled by Arrhenius equation. Hedonic evaluation showed that consumers’ appreciation of date palm syrup was not significantly different to the most known sap syrup: maple syrup.
The Advanced Very High Resolution Radiometer: Contributing to Earth Observations for over 40 Years

The Advanced Very High Resolution Radiometers (AVHRR), which have been flying on National Oceanic and Atmospheric Administration’s (NOAA) polar-orbiting weather satellites since 1978, provide the longest global record of Earth observations from a visible–infrared imager. Experience gained through AVHRRs has been integral to the development of the new-generation sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS), the Visible Infrared Imaging Radiometer Suite (VIIRS), and associated data processing algorithms in the United States, as well as a similar class of sensor by space agencies around the world. Over four decades of data have been vital for studying Earth and its change. The MetOp-C satellite that was successfully launched in 2018 carries the last AVHRR. This article reviews the contributions of AVHRR in building a continuous global data record over the last 40 years on the occasion of its last launch.
Regenerated isotropic wood

Abstract Construction of sustainable high-performance structural materials is a core part of the key global sustainability goal. Many efforts have been made in this field; however, challenges remain in terms of lowering costs by using all-green basic building blocks and improving mechanical properties to meet the demand of practical applications. Here, we report a robust and efficient bottom-up strategy with micro/nanoscale structure design to regenerate an isotropic wood from natural wood particles as a high-performance sustainable structural material. Regenerated isotropic wood (RGI-wood) exceeds the limitations of the anisotropic and inconsistent mechanical properties of natural wood, having isotropic flexural strength of ∼170 MPa and flexural modulus of ∼10 GPa. RGI-wood also shows superior water resistance and fire retardancy properties to natural pine wood. Mass production of large sized RGI-wood and functional RGI-wood nanocomposites can also be achieved.
Preparation and In Vitro Evaluation of Budesonide Spray Dried Microparticles for Pulmonary Delivery

The present study describes development and in vitro evaluation of budesonide microparticles prepared by spray drying for delivering drug directly to lungs via dry powder inhaler. This paper introduces new formulations for pharmaceutical applications which includes conventional formulations and novel spray dried microparticles viz., pulmosols, microspheres and porous particles. Optimized spray drying parameters for generation of microparticles were: inlet temperature, 130 °C; outlet temperature, 80 °C; aspirator rate, 240 mWc (60%); solution feed rate, 2 ml/min; spraying air flow pressure, 2 bar. Microparticles appeared to be spherical, low-density particles characterized by smooth surface. MMAD and GSD ranged from 2.5–4.6 μm and 1.5–2.7 respectively. Effective index of microspheres (54.48) and porous particle formulations (64.22) was higher than the conventional formulation (49.21) indicating more effective deposition of microparticles to the lungs. Carr’s Index (20–30%) and Hausner ratio (1.2–1.7) for all formulations indicated good powder flow properties. Formulations emitted a fine particle fraction of 25–47%. Microparticles showed extended in vitro drug release upto 4 hours with high respirable fractions, thus use of microparticles potentially offers sustained release profile along with improved delivery of drug to the pulmonary tract.
Thermal decomposition of brushite, CaHPO4·2H2O to monetite CaHPO4 and the formation of an amorphous phase

Abstract Brushite, CaHPO4∙2H2O, is a layered structure in which the layers are held together by water molecules via hydrogen bonds. Brushite loses its water molecules in two steps when heated, to form monetite CaHPO4. The loss of water results in the formation of an amorphous phase along with monetite. We investigated the dehydration process primarily by means of X-ray diffraction, and quantified the amount of monetite and the amorphous phase as a function of heating rate and temperature via Rietveld refinements. Water loss was recorded by thermogravimetric analysis and the nature of the products was investigated by Fourier transform infrared spectroscopy. Recrystallization, water loss, and the formation of the amorphous phase depend on the heating rate and/or time of exposure at temperature. The conversion temperature is about 220°C, although brushite can convert to monetite at lower temperatures during prolonged exposure to heat. More amorphous phase forms during slower dehydration at slower heating rates. The amorphous phase forms due to non-linear dehydration of brushite. The amorphous phase is hydrated and can be regarded as a highly disordered monetite with some free water trapped in the structure
Morphological Analyses of Some Micro- and Nanofibrils from Birch and Wheat Straw Sources

The morphological properties of nano- and microcellulose depend on the source of the particles, the preparation methods, and the processing conditions. In this study, two different kinds of microfibrillated (MFC) and nanofibrillated (NFC) celluloses were produced from wood and non-wood cellulose pulps through mechanical methods without using any chemicals. The morphological properties of the samples and feasibility of different analysis methods were investigated using a novel chromatographic washer, a field emission scanning electron microscope (FESEM), a laser diffractometer (LS), a rotational viscometer, X-ray diffractometry (WAXD) and, additionally, the degree of polymerization (DP) was assessed. The analyses showed that the formed non-wood cellulose fibrils were shorter than the wood cellulose fibrils, but wheat straw pulp comminuted to nanofibrils more easily. The low hemicelluloses content of wheat straw pulp caused the flocculation of the nanofibrils formed in homogenization. All of the analytical methods reflect morphological differences between the micro- and nanocellulose materials.
Measurement of cholinesterase activity inhibition for the detection of organophosphorus and carbamate pesticides in water

We measured the cholinesterase activity inhibition to determine concentrations of asulam and fenitrothion in soil, surface runoff and subsurface drainage, following simulated rainfall applied 1, 7 and 19 days after application of the pesticides to sloping pasture plots with downslope buffer strips. In the soil and surface runoff, both asulam and fenitrothion levels dropped below detection limits by day 19; in subsurface drainage, neither pesticide was detected at any stage. Whilst the reductions in pesticide concentrations in surface runoff with respect to applied concentrations were considerable, we cannot be certain that this was due to the action of the buffer strips.
HPLC DETERMINATION OF ACYCLOVIR AND ZIDOVUDINE IN MATERNAL PLASMA, AMNIOTIC FLUID, FETAL, AND PLACENTAL TISSUES USING ULTRA-VIOLET DETECTION

ABSTRACT A sensitive and reproducible HPLC assay has been developed and validated for the separation and analysis of acyclovir and zidovudine from plasma, amniotic fluid, placental homogenate, and fetal homogenate. Acyclovir (9-[(2-hydroxyethoxy)-methyl]-guanosine, ACV) is the oldest and most widely used compound to treat episodes of genital herpes (herpes simplex virus-2, HSV-2). Zidovudine (3-azido-3′deoxythymidine, AZT) is the premier reverse transcriptase inhibitor released for the treatment of human immunodeficiency virus (HIV). Both of these drugs have been used in pregnant women to prevent the vertical (mother-to-child) transmission of their respective viruses. This gradient HPLC assay aids in the quantitation of these drugs from the matrices associated with pregnancy (maternal plasma, amniotic fluid, fetal tissue, and placenta). The mobile phase consists of 30 mM acetate/ citrate buffer ( pH 3) and methanol. The plasma and amniotic fluid samples are prepared using a combination of protein precipitation and filtration, while the more complex tissues are prepared with the use of a solid-phase extraction (SPE). The method was validated in the calibration range of 0.1–100 μg/mL and showed precision (%Relative Standard Deviation; %RSD) and accuracy (%Error) of less than 15% for all matrices over three days. The assay was applied to a pharmacokinetic study involving the co-administration of ACV and AZT in the pregnant rat.
Structure and viscosity of liquids. Viscosity-temperature relationships of pyrrole and pyrrolidine

Pyrrole and pyrrolidine have obvions resemblances of molecular size and structure. However, physical properties of the liquids differ appreciably as indicated by the boilrng and freezing points recorded in table 2. This différence is much more marked than for the corresponding pair of molécules, benzène and cyclohexane. This can in part be attributed to the dipole moments of the two molécules, I-83D for pyrrole and 1 -570 for pyrrolidine. Différences in the extent of hydrogen bonding may also contribute. Whilst the spécifie heat curves of liquid benzène and cyclohexane exhibit normal behaviour, pyrrolidine has a pronounced thermal anomaly i in the range 260-280°K and the molar heat capacity of pyrrole i is linear from 258 to 360°K. The existence of this anomalous spécifie heat effect in liquid pyrrolidine, and its absence in the other liquids containing molécules otherwise similar in shape and mass, made it interesting to compare viscous flow in thèse two liquids through a wide range of températures down to the freezing points. Results are reported and discussed below.
Assessing risks of developing myeloproliferative diseases complications with laser doppler flowmetry

Public healthcare in Russia faces many challenges; meeting them requires non-standard and innovative approaches. The set tasks are being solved within the «Public healthcare development» State program. A sub-program within it is called «Development and implementation of innovative diagnostics, prevention, and treatment procedures as well as basics of personified medicine». This sub-program involves wide use of information and digital technologies. Personified medicine envisages developing such methods that would allow early detection of a probable disease even at a preliminary stage in examining a patient; this detection is to be based on a simple and relatively cheap diagnostic technology and to provide a medical center with reliable data on detected signs of a disease for a further diagnosis. Mass use of such technologies also requires truly reliable mathematic procedures and models for putting a preliminary diagnosis. At present cardiovascular diseases are still the leading cause of death all over the world; they develop due to variable factors including influence exerted by malignant neoplasms and also due to chemotherapy. The paper contains data collected by contemporary medical experts on case histories and complications of myeloproliferative diseases caused by vascular system pathology that holds the first rank place as per mortality worldwide. It was detected that both pathological cellular mass and medications applied to treat myeloproliferative neoplasms could produce adverse effects on vascular endothelium damage to which plays the leading role in cardiovascular continuum. To assess risks of myeloproliferative diseases complications, we examined patients using Laser Doppler Flowmetry (LDF). The results were processed with a logistic regression model. As per ROC-analysis results the obtained diagnostic criterion has sensitivity (1 – β) and specificity, (1 – α) that are equal to 0.87 and 0.96 accordingly, and it means diagnostics is high-quality. The procedure and the mode can be applied in digital medicine.
Movie Industry Economics: How Data Analytics Can Help Predict Movies’ Financial Success

Purpose: Data analytics techniques can help to predict movie success, as measured by box office sales or Oscar awards. Revenue prediction of a movie before its theatrical release is also an important indicator for attracting investors. While measures for predicting the success of a movie in box office sales and awards are widely missing, this study uses data analytics techniques to present a new measure for prediction of movies’ financial success.Methodology: Data were collected by web-scraping and text mining. Classification and Regression Tree (CART), Random Forests, Conditional Forests, and Gradient Boosting were used and a model for prediction of movies' financial success proposed. Content strategy and generating high profile reviews with complex themes can add to controversy and increase the chance of nomination for major movie awards, including Oscars.Findings/Contribution: Findings show that data analytics is key to predicting the success of movies. Although predicting sales based on data available before the release remains a difficult endeavor, even with state-of-the-art analytics technologies, it potentially reduces the risk of investors, studios and other stakeholders to select successful film candidates and have them chosen before the production process starts. The contribution of this study is to develop a model for predicting box office sales and the chance of nomination for winning Oscars. Practical Implications: Cinema managers and investors can use the proposed model as a guide for predicting movies’ financial success.
The influence of water vapor content on electrical and spectral properties of an atmospheric pressure plasma jet

An atmospheric pressure plasma jet generated in Ar with water vapor is investigated. It is shown that an increase in the water content results in a decrease in the input power and asymmetry of the current waveform on positive and negative half-periods of the applied voltage. Space-resolved spectroscopy with a resolution of 1 mm and an imaging technique are applied for the characterization of the afterglow and investigation of the influence of water content on plasma properties. The rotational temperature of the jet is determined by simulation of the OH radical emission spectrum, transition A 2Σ+(v = 0) → X 2Π(v = 0). It is revealed that the temperature of the discharge increases from 450 K (Ar) up to 850 K with an increase in the water content up to 7600 ppm. Generation of the discharge in mixtures of argon with water vapor at a concentration of 350 ppm results in a maximal yield of OH radicals that can be useful in plasma jet applications. Preliminary tests of polypropylene surface modification are carried out in order to estimate the influence of water content on the results of treatment.
Synthesis and characterization of Iron Oxide (hematite) nanoparticles by sol-gel method

Iron oxide nanoparticles have excellent biomedical applications because of its large surface area. It can be used in drug delivery, cell separation, tissue repair and MRI. A Fe2O3 nanoparticle is synthesized chemically by sol-gel method. This method uses Ammonium hydroxide and Ethanol as a precursor for forming Fe2O3 nanoparticles. Thus Fe2O3 nanoparticles are characterized by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM), Energy dispersive X-ray spectroscopy (EDAX) and UV Spectroscopy. All the structural parameters such as lattice constants, unit cell volume, density, crystalline size, micro strain are calculated from the XRD results using Debye Scherrer’s formula. When annealing temperature increased from 400oC to 1000oC the average crystalline size of the Fe2O3 nanoparticles are increased from 18nm to 22nm. FTIR technique also confirms functional groups of the synthesized Fe2O3 nanoparticles. The SEM image indicates that Fe2O3 nanoparticles are approximately spherical in shape. Band gap of the Fe2O3 nanoparticles is founded using UV Spectroscopy and it is reported in paper.
Novel Spray‐Pyrolysis Deposition of Cuprous Oxide Thin Films

Spray pyrolysis of aqueous solutions that include copper(II) acetate, glucose, and 2-propanol was studied for the formation of cuprous oxide (Cu2O) thin films on glass substrates. The deposition conditions, based on the phase relations of the films, were investigated in terms of solution concentration and substrate temperature. Also, the formation process was kinetically discussed. The Cu2O thin film obtained here was composed of rounded grains ∼50 nm in size with a surface roughness of ∼30 nm. This film was reddish yellow and showed indirect and direct bandgap energies of 1.95 and 2.60 eV, respectively. Furthermore, the film exhibited p-type conduction, with a resistivity of ∼100 Omegacm.
Towards Unsatisfiable Core Learning for Chuffed

Contemporary research explores the possibilities of integrating machine learning (ML) approaches with traditional combinatorial optimisation solvers. Since optimisation hybrid solvers, which combine propositional satisﬁability (SAT) and constraint programming (CP), dominate recent benchmarks, it is surprising that the literature has paid limited attention to machine learning approaches for hybrid CP–SAT solvers. We identify a recent technique in the SAT literature called un-satisﬁable core learning as promising to improve the performance of the hybrid CP–SAT lazy clause generation solver Chuﬀed. We leverage a graph convolutional network (GCN) model, trained on an adapted version of the MiniZinc benchmark suite. The GCN predicts which variables belong to an unsatisﬁable cores on CP instances; these predictions are used to initialise the activity score of Chuﬀed’s Variable-State Independent Decaying Sum (VSIDS) heuristic. We benchmark the ML-aided Chuﬀed on the MiniZinc benchmark suite and ﬁnd a robust 2.5% gain over baseline Chuﬀed on MRCPSP instances. This paper thus presents the ﬁrst, to our knowledge, successful application of machine learning to improve hybrid CP–SAT solvers, a step towards improved automatic solving of CP models.