Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation of atomic and molecular fluorescence spectroscopy of helium in different pressures and temperatures using a corona discharge

Fluorescence spectroscopy is a powerful tool for obtaining information on microscopic processes in discharge (corona) plasmas in dense media, such as high pressure supercritical gases and even liquids. Spectroscopic observations of the light emitted from an ionization zone near a tip electrode can be used to determine structural information of the local environment of the emitting atoms or molecules. The spectra observable are sensitive to the immediate surroundings of the emitting species, making them useful for the study of cold non-equilibrium plasmas at varying pressures and temperatures. The aim of this project is to further our understanding of helium (He) in different phases, providing information to help understand the nature of the interaction between the helium atoms within this environment. In this work, spectra have been recorded for a corona discharge in gaseous and liquid helium. The experimental conditions covered a wide region of thermodynamic states in two different designs. The first experiment was carried out at cryogenic temperatures at 3.8, 4.0, 4.5 and 5.0 K under a range of pressure (0.1-5.0 bar). The second set of experiments were carried out at room temperature with range of pressures 0.1-30 bar. Several thousand spectra were recorded in the visible and near-infrared regions. Analyses were conducted on spectra including the atomic 3s S→2p P and 3s S→2p P transitions. These transitions showed line shifts, spectral broadening and intensity changes that were dependent on the magnitude of the pressure and temperature, and therefore on the thermodynamic phase. In addition to atomic lines, rotationally-resolved molecular emission bands arising from the d Σu + → b Πg 3 3 and D Σu + → B Πg 1 1 transitions of the electrically excited helium dimer (excimer), He2 ∗ , were recorded. Remarkably, and similarly to the analysis of atomic lines, the molecular (excimer) emission showed sharp and distinct lines at low temperature in the region below the saturated vapor pressure (SVP) of helium. However, lineshifts, linewidths and line intensities of the excimers increased strongly upon an increase in pressure, indicating that solvated He2 ∗ in the liquid phase exhibits hindered rotation. The rotation of excimers within the liquid phase was attributed to the location of the excimer within a large bubble. A further interesting observation was the abrupt changes of lineshift and linewidths with pressures that occurred by crossing the SVP curve for both atomic and molecular transitions. A model was developed to explain this in which clusters form around excimers and excited helium atoms before the helium liquefies. In a separate application of the corona discharge, it was employed to make plasmas from a mixture of pure air and perfume. The idea here was collecting spectra of this mixture with and without helium to explore and understand some of the emitted species generated in this mixture of plasmas at atmospheric pressure and to the first time.
Dye removal abilities of the mesophilic and thermophilic biomass: a kinetics study

Mesophilic biomass and thermophilic biomass samples were isolated and used to remove Dorasyn Red dye from aqueous solutions. The biosorption kinetics of dye uptake by four different types of biomass at three temperatures (20, 30, and 40 °C) were investigated using pseudo-first order kinetics, pseudo-second order kinetics, intraparticle diffusion, Elovich, and Bangham models. The pseudo-second-order kinetics model and the first stage of the intraparticle diffusion model were effective in describing the experimental kinetics data. The biosorption results showed that the mesophilic biomass samples could be useful for removing dye under acidic conditions.
Grain yield, growth response, and water use efficiency of direct wet-seeded rice as affected by nitrogen rates under alternate wetting and drying irrigation system

ABSTRACT The present investigation aimed to determine the effectiveness of different nitrogen (N) rates on grain yield, growth, and water use efficiencies of direct wet-seeded rice and to create a relationship of N rates with growth parameters and dry matter production at different stages. The experiments compared six rates of nitrogen (0, 40,80,120,160, and 200 kg ha–1N) replicated thrice in randomized complete block design in two conjunctive years of 2009–2010 and 2010–2011 at Bangladesh Rice Research Institute farm, Gazipur.The highest grain yield of 7.85 and 7.22 t ha−1 was observed in N200 treatment in 2009–2010 and 2010–2011, respectively. The relationship (R2) of total dry matter with leaf area index , leaf area duration, and crop growth rate indicated strong association during booting stage to achieved maximum dry matter during harvest. Water use efficiency varied 87–91% in different N levels.
Understanding interaction and dynamics of water molecules in the epoxy via molecular dynamics simulation

ABSTRACT The robust structural integrity of the epoxy plays an important role in ensuring the long-term service life of its applications, which is affected by the absorbed moisture. In order to understand the mechanism of the moisture effect, the knowledge of the interaction and dynamics of the water molecules inside the epoxy is of great interest. Molecular dynamics simulation is used in this work to investigate the structure and bonding behaviour of the water molecules in the highly cross-linked epoxy network. When the moisture concentration is low, the water molecules are well dispersed in the cross-linked structure and located in the vicinity of the epoxy functional groups, which predominantly form the hydrogen bond (H-bond) with the epoxy network, resulting in the low water mobility in the epoxy. At the high concentration, the water favourably forms the large cluster due to the predominant water–water H-bond interaction, and the water molecules diffuse primarily inside the cluster, which leads to the high water mobility and the accelerated H-bond dynamics. The variation of the bonding behaviour and dynamics of the water molecules reported here could be exploited to understand the material change and predict the long-term performance of the epoxy-based products during the intended service life.
Cane Yield and Juice Volume Determine Ethanol Yield in Sweet Sorghum (Sorghum bicolor L. Moench)

Sweet sorghum (Sorghum bicolor L. Moench) contains fermentable sugars in the stem that can be converted to ethanol. The current study aimed at evaluating the performance of three sweet sorghum genotypes with five checks and contributes towards availing suitable sweet sorghum for industrial ethanol production. Field studies were carried out in Kenya at varied locations in a randomized complete block design with three replications. Sorghum was harvested at hard dough stage of grain development and evaluated for several stem juice production traits including plant height, cane yield, juice volume, degrees Brix, total, reducing, and non-reducing sugars, and ethanol yield via juice fermentation. Analyses of variance using SAS version 9.1 showed a significant effect of genotype for morphological characters and ethanol yield. Genotype EUSS10 produced the greatest cane (27.4 T/ha) and juice yield (7806.7 L/ha) whereas ACFC003/12 recorded the greatest ethanol yield (423.1 L/ha). At all sites, EUSS10 had the greatest plant height and days to 50% heading whereas SS04 had the greatest Brix and total sugar concentration. The greatest grain yield and non-reducing sugar concentration was produced by SS17 and SS21, respectively. Results of this study show that though Brix and total sugars are desirable for ethanol yield, cane yield, and juice volume of sweet sorghum determines the ultimate volume of ethanol produced.
Drug delivery and adhesion of magnetic nanoparticles coated nanoliposomes and microbubbles to atherosclerotic plaques under magnetic and ultrasound fields

The use of external fields such as magnet and ultrasound to enhance the targeted drug delivery (TDD) by nano-microcarriers could be a potential method. In this research, the drug delivery of magnetic nanoparticles (NPs) coated nanoliposomes and microbubbles (MBs) to the atherosclerosis plaque was investigated under magnetic and ultrasound fields in terms of their adhesion to the plaque through ligand–receptor binding. TheHalbach arrangement enhanced the surface density of nanoliposomes andMBs adhered to theplaqueby ∼ 121% and ∼ 94%, respectively. A focused transducer at the power of 60W led to better drug delivery performance and caused ∼ 67% and ∼ 58% enhancement in the surface density of nanoliposomes andMBs adhered to the plaque, respectively. Better drug delivery efficiency was achieved upon using a magnetic field as compared with the ultrasound field. The simultaneous employment of magnetic and ultrasound fields can increase the delivery of nanoliposomes and MBs by ∼ 148% and ∼ 121%, respectively. The results of this study can broaden our insight on the effects of amagnet (its size, location, and arrangement) and the type of ultrasound transducer on TDD to the carotid artery disease using nanoliposomes and MBs. ARTICLE HISTORY Received 1 June 2021 Accepted 26 September 2021
Use of Tarragon (Artemisia dracunculus) essential oil as a natural preservative in beef burger

Nowdays, adding natural food preservatives is one of the methods for increasing shelf-life. The aim of this study was evaluation of antioxidant activity and antibacterial effects Tarragon (Artemisia dracunculus) essential oil (TEO) in beef burger product. In this experimental study, essential oil of the Tarragon was isolated by hydrodistillation. Then, TEO was analyzed by gas chromatography-flame ionization detector (GC-FID) and gas chromatography/ mass spectrometry (GC-MS). The effect of different concentrations of Tarragon essential oil (0.00, 0.062, 0.125, and 0.25) in 4Â° Â±1Â°C temperature and storage time up to 12 days was evaluated on lipid oxidation, anti Staphylococcus aureus activity and organoleptic effects in beef burger. The monoterpenes hydrocarbons constitute the major fraction of the TEO (95.91) and the sesquiterpene hydrocarbons were the minor fraction (0.46). No significant differences were observed after adding of different concentrations of essential oil on lipid oxidation value in raw beef burger (P>0.05). The Tarragon essential oil 0.25 in storage temperature (4Â±1Â°C) decreased growth rate of S. aureus in beef burger (p<0.05). Also overall acceptance rate in beef burger containing Tarragon essential oil 0.125 created a better sense in product (p<0.05). Therefore, this essential oil might be used as an antibacterial agent and flavor enhancer in meat products such as beef burger.
Global Journal of Guidance and Counseling in Schools: Current Perspectives Self-management in older adults with chronic illness: Do illness representations play a regulatory role?

A greater number of older adults now live with chronic illness. This poses a significant public health problem because older adults are at high risk for chronic illness-related mortality and morbidity. In the study, for self-management in older adults with chronic illness, 76 respondents (39.47% women; mean age, 64.53 ± 6.93 years) participated and nine subscales (illness consequences, illness coherence, illness timeline — cyclical, personal control, treatment control, illness representations, illness identity and causal attributions) of the illness perception questionnaire — revised (IPQ-R) were administered. Multivariable linear regression analyses explored the associations between illness perception, wellness-focused coping and illness-focused coping, as measured by chronic pain coping inventory. Higher scores on the subscales causal attributions, illness coherence, illness representations and personal control scales were associated with several scores of coping strategies chosen by chronically ill older persons. This self-regulatory model may provide a useful guide for the development of effective interventions tailored to older adults.
Anomalous Interfacial Structuring of a Non-Halogenated Ionic Liquid: Effect of Substrate and Temperature

We investigate the interfacial properties of the non-halogenated ionic liquid (IL), trihexyl(tetradecyl)phosphonium bis(mandelato)borate, [P6,6,6,14][BMB], in proximity to solid surfaces, by means of surface force measurement. The system consists of sharp atomic force microscopy (AFM) tips interacting with solid surfaces of mica, silica, and gold. We find that the force response has a monotonic form, from which a characteristic steric decay length can be extracted. The decay length is comparable with the size of the ions, suggesting that a layer is formed on the surface, but that it is diffuse. The long alkyl chains of the cation, the large size of the anion, as well as crowding of the cations at the surface of negatively charged mica, are all factors which are likely to oppose the interfacial stratification which has, hitherto, been considered a characteristic of ionic liquids. The variation in the decay length also reveals differences in the layer composition at different surfaces, which can be related to their surface charge. This, in turn, allows the conclusion that silica has a low surface charge in this aprotic ionic liquid. Furthermore, the effect of temperature has been investigated. Elevating the temperature to 40 °C causes negligible changes in the interaction. At 80 °C and 120 °C, we observe a layering artefact which precludes further analysis, and we present the underlying instrumental origin of this rather universal artefact.
Comparison of Response Surface Methodology (RSM) and Artificial Neural Network (ANN) in modelling of waste coconut oil ethyl esters production

ABSTRACT The attributes of renewability and environmental friendliness have made ethanol a preferable alternative to methanol in the production of biodiesel from lipid feedstocks. For the first time, this study adopted Response Surface Methodology (RSM) and Artificial Neural Network (ANN) to model coconut oil ethyl ester (CNOEE) yield. Transesterification parameters such as reaction temperature and ethanol/coconut oil molar ratio and catalyst dosage were varied. Maximum CNOEE yield of 96.70% was attained at 73 °C reaction temperature, 11.9:1 molar ratio, and catalyst dosage of 1.25 wt. %. The experimental yield was in agreement with the predicted yield. Central Composite Design was adopted to develop the RSM while feed-forward back propagation neural network algorithm was employed for the ANN model. Statistical indices were employed to compare the models. The computed coefficient of determination (R2) of 0.9564, root-mean-squarce-error (RMSE) of 0.72739, standard error of prediction (SEP) of 0.008021, mean average error (MAE) of 0.612, and average absolute deviation (AAD) of 0.674901 for RSM model compared to those of R2 (0.9980), RMSE (0.68615), SEP (0.007567), MAE (0.325), and AAD (0.3877) for ANN indicated the superiority of the ANN model over the RSM model. The key fuel properties of the CNOEE met with those of biodiesel international standards.
THE MAST CELL: FROM THE OLD STRUCTURE TO THE NEW FUNCTIONS

Initially viewed as the central pawn in the pathologic chain of allergic reactions, the mast cell, although described microscopically over a century ago, remains an enigma. The richness of substances preformed and deposited within the cytoplasmic granules characteristic for this cell or newly synthesized after the activation of membrane receptors triggered a peculiar interest for the clarification of the intimate relationship established by the mast cell with the antigens or with the other immune cells, within the connective extracellular matrix. Nowadays, the origin of mast cell is established and its behavior is explained in accordance with the nature of the molecules stored within the cytoplasm. However, the mast cell keep displaying new abilities in other pathological conditions, justifying the major interest linked to the position and role performed in supporting the development and progression of tumor cells, especially through the involvement in tumor neoangiogenesis. This review focus on the complex functions of the mast cell, highlighting its pathogenic potential based on the activation process and mediators’ biological properties.
Evaluation of Coronavirus Anxiety in Pregnant Women on Apgar Score and Birth Weight After One Year of Coronavirus Outbreak (Case Study: Zabol, Iran)

Background & Objective: Pregnancy is a stressful event in and of itself, which may have an impact on the present prevalence of COVID-19 illness. It is crucial to think about what factors can help pregnant women cope with the anxiety brought on by the COVID-19 outbreak. The purpose of this study was to determine the prevalence of COVID-19 in pregnant women, as well as the impact of COVID-19 anxiety on pregnant women's Apgar scores and birth weights of newborns. Materials & Methods: From early January to late March 2021, 102 pregnant women were included in this descriptive cross-sectional study using any accessible sampling method. Questionnaires such as the "Demographic" and "Corona Anxiety Scale" were used to collect data. SPSS software version 22 was used to analyze the data. Results: The mean score of total anxiety caused by COVID-19 in the pregnant women was 20.88 ± 21.08, which was moderate. Among the components of anxiety, the mean score of psychological symptoms (13.05 ± 5.31) of pregnant women was higher than physical symptoms (5.64 ± 5.72). There was no statistically significant link between demographic characteristics and COVID-19-induced anxiety (P>0.05). The findings also revealed no statistically significant connection between COVID-19-induced anxiety and newborn weight or Apgar score 1 and 5 minutes after birth (P>0.05). Conclusion: The definitive incidence of COVID-19 in pregnant women was low. They experienced a moderate level of anxiety caused by COVID-19, which requires the necessary measurements to be taken by the relevant authorities, family and others to reduce this anxiety during the coronavirus pandemic. © 2021 Farname Inc, All rights reserved.
Prevention of Osteoarthritis Progression by Statins, Targeting Metabolic and Inflammatory Aspects: A Review

Background and purpose: Several traditional risk factors of atherosclerosis such as age, obesity, and altered lipid metabolism are shared with osteoarthritis (OA). Metabolic abnormalities and atheromatous vascular disease are linked with systemic inflammation and progression of OA. Hence, treatment of OA with statins is expected to improve metabolic abnormalities and prevent OA progression. Many studies which have addressed this issue found inconsistent results. This review aims to elucidate the effect of statins in OA by summarizing the existing data. Methods: Potential studies in English language published in Medline/PubMed, Scopus and Google Scholar since 2000 were searched by using keywords such as osteoarthritis, statins, progression, treatment, prevalence, synovitis, pain. Fourteen papers were found to be relevant and were summarised. Results: Data regarding symptomatic effect of statins in OA are scarce and the results varied from no effect to a small improvement or even increased risk of pain in knee OA. However, most studies on the incidence and progression of OA found a significant decreased risk of incident OA, as well as reduced risk of radiographic progression in statin users vs. non-users. Factors such as patient adherence, duration of treatment, and higher cumulative statin doses were associated with greater efficacy. Conclusion: Existing data indicate a preventing effect of statin therapy on OA progression. However, unless a formal meta-analysis with weight analysis is made, a conclusion cannot be drawn.
Structural studies of liquid crystals and silyl solutes

The deviations in structure from that of the gas phase have been examined when the technique of liquid crystal nuclear magnetic resonance (LCNMR) spectroscopy is applied to a series of simple silyl compounds. Both conventional vibrational corrections and an additional correction to account for the correlation between vibration and reorientation of the molecules were applied. This has indicated that the main structural differences are as a result of specific interactions between polar groups from the liquid crystal and the silicon. This interaction takes the form of an SN2 interaction intermediate as is found in the crystal structures of these silyl compounds. In addition, the crystal structure of two liquid crystals, 4'-n-heptyl-4-cyanobiphenyl (7-CB) and 4'-methoxy-4-cyanobiphenyl (1-OCB) have been determined. The molecular packing of 7-CB and the first seven members of the n-OCB series were then examined and found to be related to the mesogenic properties of these compounds on melting.
Analysis of Applications Conceived by Object Enhanced Time Petri Nets

Object Enhanced Time Petri Nets (OETPN) can be used for specifications analysis, design (including synthesis), implementation, integration and maintenance of software applications in the domain of reactive systems, cyber-physical systems, embedded systems, real-time systems, internet of things etc. due to their ability to describe complex structures, concurrent behavior, reaction to the environment events, distributed processing, and task migration. OETPNs are extended from classical Petri Nets (PNs) by having tokens modeling passive and active objects (threads of executions). The system behavior is determined by a number of guards and mappings associated with each transition. In order to verify systems that are developed with OETPNs, Time Petri Nets (TPNs) are used with the clock-stamped state class (CS-class) technique. A new method for converting OETPNs to TPNs is proposed so that the reachability graph can be generated and computed the end- to- end time for each thread aside. A complete system analysis, implementation, and verification is provided for a synchronous and asynchronous approach for the real-time point of view.
Band-notched Reconfigurable Rectangular Dielectric Resonator Antenna with Parasitic Elements

A novel band-notched reconfigurable rectangular dielectric resonator antenna is presented. It is fed by step-impedance transform microstrip line with truncated ground plate. By the incorporation of two p-i-n diode switches and parasitic square ring elements surrounding the dielectric resonator, tunable rejection bands are achieved. Depending on the location of the switches, the square ring resonator exhibits different band-notched frequency, corresponding to different resonant length.