Miracle-dz/UniFAR-FTUs huggingface dataset:
Photonic effects on nanostructures in the

In this work we present a theoretical-experimental study of optics effects in nanostructures formed during the growth of titania nanotubes. Titania nanotubes were fabricated via electrochemical anodization method using Ethylene glycol. Traces or prints left by the nanotubes on the titanium surface are observed thought X-ray diffraction measurements. The pattern shows a polycrystalline structure with the presence of Anatase and titanium phases. The reflectance and absorbance spectra reveal in the traces optical phenomena similar to iridescence. The iridescence behavior is commonly found in nature and is traditionally associated to photonic properties. Using the plane wave method and modelling the nanostructures observed on the interphase like two-dimensional photonic crystals, the photonic dispersion relation was calculated in function of geometrical parameters. Enlargement of the photonic band gap was found as spatial contrast is increased. These results suggest that these types of nanostructures can be promissory candidates to develop photonic devices. Copyright © 2016 VBRI Press.
Effect of Thermophoresis, Brownian and Turbulent Mass Fluxes in the Simulation of Two Phase Turbulent Free Convection of Nanoﬂuid Inside the Enclosure using v2-f Model

Effect of Thermophoresis, Brownian and Turbulent Mass Fluxes in the Simulation of Two Phase Turbulent Free Convection of Nanofluid Inside the Enclosure using v-f Model Saber Yekani Motlagh Faculty of Mechanical Engineering, Urmia University of Technology (UUT), P.O. Box: 57166419, Urmia, Iran Abstract In this article, two-phase alumina-water turbulent natural convection with Reynolds Averaged Navier-Stokes based v-f model in a square cavity has been investigated. Buongiorno’s two-phase model is modified for considering the nanoparticles diffusion via turbulent flow eddies. Using the finite volume method and the semi-implicit method for pressure linked equations algorithm, the governing equations along with boundary conditions have been discretized. The left and right vertical walls of cavity are kept at constant temperatures, while the other walls are thermally insulated. Calculations are performed for high Rayleigh numbers (10–10) and average volume fractions of nanoparticles (0 0.04). The results are analyzed through the thermal and dynamical fields with a particular interest to the turbulent intensity, turbulent kinetic energy, thermophoresis, Brownian and turbulent mass flux distribution inside the cavity and Nusselt number variations. It is shown that nanoparticles had no significant effects on turbulent kinetic energy and intensity, and thermophoresis effect is dominant at the near wall regions. Furthermore, there are optimal average volume fractions with the maximum heat transfer rate depending on Rayleigh number. Moreover, magnitude of turbulent Schmidt number had negligible effect on estimation of heat transfer rate. Against, low turbulent Prandtl numbers predicted higher values for Nusselt number.
Effects of starvation on growth,physiological and biochemical parameter of GIFT strain of Nile tilapia(Oreochromis niloticus)

Starvation is a situation undergone and tolerated by many fish species in the natural environment.Starvation is also an important environment factor for fish and it can affect fish growth,meatablism,behavior,reproduction, develop and survival,as well as causes fish to infect diseases even to death.Fish farms routinely submit fish to starvation situations during a given period in certain situations in aquaculture production,especially in winter.Therefore,how to alleviate starvation harm response is the research focus in this field.The Genetically Improved Farmed Tilapia (Oreochromis niloticus),known as GIFT was established by crossing eight different strains of Nile tilapia,four sampled from Africa,and another four domesticated Asian stocks.It has become popular because it is easy to breed,tolerates a wide range of water quality,salinity and temperature,also it has versatile food habits,and it is highly marketable and affordable.Now it is a new important breeding species in China.In order to estimate effects of starvation on growth, physiological and biochemical parameter of the GIFT strain of Nile tilapia,90 GIFT(Oreochromis niloticus)with body weight(137.18±3.16)g were randomly divided into six groups and were acclimatized in the same size tank with a volume of 200 L with a running water system,water temperature 24℃,flow rate 2 L/min,sufficient oxygen,no human interference and being kept quiet.GIFT were fed with the diets 2%-4%body weight for 15 d,then were starved for 0,7,14,21 d.The growth,serum index,immune index,Heat shock protein 70(HSP70) mRNA level and nutrition composition of GIFT were determined.The results showed with the increasing of starvation,body weight,viscera weight,hepatosomatic index,viserosomatic index,serum triglyceride,serum nitric oxide content,superoxide dismutase activity,HSP70 mRNA level,muscle energy concentrations,muscle cude lipid concentrations,liver ash concentrations and mesentery cude lipid concentrations appeared decreasing while malondialdehyde content became increasing of which all the indices presented significant difference in the starvation for 21 d.Serum cortisol and total protein appeared the trend of increasing,then decreasing during the starvation for 0,7,14,21 d of which Serum cortisol and total protein were significant difference in the starvation for 7 d.There was no significant difference in moisture concentrations,crude protein contents of fish muscle and liver after 7-21 d starvation.So GIFT maintained body requirement through using lipid firstly,then protein of store tissue during the starvation,and long-term starvation maybe reduce the immunity and antioxidation ability,and affect fish health.
The effects of PTSD treatment during pregnancy: systematic review and case study

ABSTRACT Background PTSD in pregnant women is associated with adverse outcomes for mothers and their children. It is unknown whether pregnant women with PTSD, or symptoms of PTSD, can receive targeted treatment that is safe and effective. Objective The purpose of the present paper was to assess the effectiveness and safety of treatment for (symptoms of) PTSD in pregnant women. Method A systematic review was conducted in accordance with the PRISMA guidelines in Pubmed, Embase, PsychINFO, and Cochrane. In addition, a case is presented of a pregnant woman with PTSD who received eye-movement desensitization and reprocessing (EMDR) therapy aimed at processing the memories of a previous distressing childbirth. Results In total, 13 studies were included, involving eight types of interventions (i.e. trauma-focused cognitive behavioural therapy, exposure therapy, EMDR therapy, interpersonal psychotherapy, explorative therapy, self-hypnosis and relaxation, Survivor Moms Companion, and Seeking Safety Intervention). In three studies, the traumatic event pertained to a previous childbirth. Five studies reported obstetrical outcomes. After requesting additional information, authors of five studies indicated an absence of serious adverse events. PTSD symptoms improved in 10 studies. However, most studies carried a high risk of bias. In our case study, a pregnant woman with a PTSD diagnosis based on DSM-5 no longer fulfilled the criteria of PTSD after three sessions of EMDR therapy. She had an uncomplicated pregnancy and delivery. Conclusion Despite the fact that case studies as the one presented here report no adverse events, and treatment is likely safe, due to the poor methodological quality of most studies it is impossible to allow inferences on the effects of any particular treatment of PTSD (symptoms) during pregnancy. Yet, given the elevated maternal stress and cortisol levels in pregnant women with PTSD, and the fact that so far no adverse effects on the unborn child have been reported associated with the application of trauma-focused therapy, treatment of PTSD during pregnancy is most likely safe.
Sample Model for the Prediction of Default Risk of Loan Applications Using Data Mining

— Data mining is becoming a strategically important area in the banking sector. Where volumes of electronic data are stored, and where the number of transactions is increasing rapidly. Using Data Mining, it is possible to collect some interesting patterns and knowledge base, transforming into useful information that can be used to minimize the risk in bank loans. In this paper, Data mining was used as a tool to extract relevant information from existing credit data of a bank to build a model that can be used to evaluate and decide whether a borrower is a right candidate for a loan, or if there is a high risk of default which will be run using an open-source machine learning software called Waikato Environment for Knowledge Analysis (WEKA). Also discussed is the method in constructing the model and the recognition of its accuracy rate using the classification algorithm J48.
Drought-tolerant soybean development: evaluation of GM lines under greenhouse and field conditions

Drought is one of the greatest sources of environmental stress that has resulted in both economic and yield losses in many soybean-producing regions. The use of biotechnological tools aimed to produce plants with increased drought tolerance and productivity is the result of major investments in scientific and technological research. During the last decades, transcription factors (TFs) and key genes of important drought-responsive pathways have been used to develop genetically modified (GM) plants with increased tolerance to abiotic stress. To develop soybean lines with improved drought tolerance, genes encoding dehydration-responsive element binding protein (DREB) TFs and ABA-responsive element-binding proteins (AREB) as well as the GolS and NCED genes that encode the enzyme galactinol synthase (GolS, EC 2.4.1.123) of the raffinose family of oligosaccharides (RFOs) and the key enzyme in abscisic acid (ABA) biosynthesis 9-cisepoxycarotenoid dioxygenase (NCED, EC 1.13.11.51), respectively, were successfully introduced in soybean plants. After transformation, it was imperative to characterize the resultant drought tolerance of the GM lines. Thus, the soybean GM lines containing genetic constructions to overexpress AtDREB1A, GmDREB1A, AtDREB2A, AtAREB1, AtGolS2, and AtNCED3 were phenotyped based on molecular and agronomical traits, growth parameters, and survival rates under water deficit conditions in experiments carried out under greenhouse and field conditions for more than one crop season. All obtained results were compiled and are presented in this report. Overall, the GM lines are promising and show improved drought tolerance as diverse defense mechanisms aimed at surviving periods of water scarcity were targeted while retaining the productivity of the crop. These outcomes highlight soybean drought-tolerance pathways and indicate that the use of biotechnological tools in agricultural research can help producers minimize both yield and financial losses during drought-stricken crop seasons.
Medium-chain fatty acids in nutritional therapy: A review

Medium-Chain Fatty Acids (MCFA) are saturated fats with aliphatic rings of 6-12 carbons. It is widely accepted that the metabolism of MCFA induces ketogenesis in the liver. Ketone bodies have been suggested to produce larger amounts of energy compared to glucose. Its benefit in providing an alternative source of energy has been as one of the strategies to prevent disease development especially those diseases that are associated with glucose metabolism or mitochondrial dysfunction. The current review highlights the nutritional impacts of MCFA and its utilization in disease therapy.
Multicarrier Waveform Candidates for Beyond 5G

To fulfil the requirements of 5G vision of "everything everywhere and always connected", a new waveform must contain the features to support a greater number of users on high data rate. Although Orthogonal Frequency Division Multiplexing (OFDM) has been widely used in the 4th generation, but it can hardly meet the needs of 5G vision. However, many waveforms have been proposed to cope with new challenges. In this paper, we have presented a comparative analysis of several waveform candidates (FBMC, GFDM, UFMC, F-OFDM) on the basis of complexity, hardware design and other valuable characteristics. Filter based waveforms have much better Out of Band Emission (OoBE) as compared to OFDM. However, F-OFDM has smaller filter length compared to filter-based waveforms and provides better transmission with multiple antenna system without any extra processing, while providing flexible frequency multiplexing, shorter latency and relaxed synchronization as compared to other waveforms.
A Finite State Machine Based Adaptive Mission Control of Mini Aerial Vehicle

This paper describes a finite state machine for adaptive mission control of mini aerial vehicles. The purpose of a finite state machine is to support mission control during aerial inspection of high voltage transmission lines and insulators independently from environmental and other conditions. One of the basic application of our mini aerial vehicle research is inspection of high voltage transmission lines during its load mode. Around high voltage transmission lines and towers generating a strong electromagnetic field. An electromagnetic field can be influence negatively to autonomous flight and mission control should be predicted such us situation to avoid possible accident. Moreover, environmental and weather condition always unpredictable and mission control have to adapt for various type of additional constraints, which can be make problem for pre-defined mission map and trajectory. Therefore, it needs to develop mission control for autonomous flight with an adaptive option or capability. Such mission control provides less workload and safety guarantee for the inspection team during the process. Keywords—mini aerial vehicle; mission control; adaptation; finite state machine; autonomy;
Raynaud's Phenomenon Impact on Quotidian Quality of Life

Objective: To gain further understanding into the needs of Raynaud’s phenomenon (RP), patient questionnaires were conducted in England, UK 2017 at an SRUK patient conference and Porto, Portugal 2018 at Central Hospital Universitário Porto (CHUP). The questions focused on daily activities and experience. Method: Sixty-four participants answered questions on their daily experience with RP, specific and general. Analysis grouped results into topics quantified by number and %. Results: Although many tasks trigger RP episodes, some are more problematic than others, e.g. peeling vegetables; for many, the pain (46.9%) is not the worst part, but instead the hinderance in function, inability (73.4%) especially regarding hands and fingers. Conclusion: A Design Specification (DS) criteria for RP patients’ hands is formed through the listed activities. The key needs identified for RP patients fingers and hands are maintenance of: Dexterity, Tactility and Comfort whilst cohering to aesthetic needs & wellbeing.
Note on the Woodcock Rocking Display

Abstract Scolopax minor (American Woodcock) is well-known for its crepuscular foraging, nuptial sky dance, and concealment by both cryptic coloration and immobility. It occasionally engages in a highly conspicuous rocking motion that has been interpreted by some as a strategy for worm-hunting. However, the literature on this behavior, combined with current observations and theory, can instead more plausibly be interpreted as an advertisement of unprofitability.
MODELLING THE EFFECTS OF HCV PLUS-STRAND RNA INFLUX INTO A CELL DURING HCV REPLICATION

This paper presents a sub-genomic Hepatitis C Virus (HCV) replication model which incorporates the rate of influx of HCV plus-strand RNA into Huh-7 cell and monitored its effects. The schematic diagram of HCV replication has been simplified. The model exhibits three equilibrium, namely: trivial equilibrium, healthy equilibrium and endemic equilibrium. Stability analysis of the model shows that the healthy equilibrium is globally asymptotically stable under certain condition. It is shown that increase in the rate of influx, increases the steady state level of total plus strand RNA, synthesized plus strand RNA, replicated plus strand RNA and NS5B in the system. Sensitivity and uncertainty analyses of the model (using the \textit{basic replication number} (${\mathcal R}_0$) as the response function) show that the top three PRCC-ranked parameters are the rate of influx, $k_0$ of HCV plus-strand RNA, the rate of production of translation complex ($T_c$) and the rate of degradation, $\mu_{p}^{cyt}$, of plus-strand RNA $R_{P}^{cyt}$. Furthermore, the distribution of $\mathcal{R}_0$ is between $[0.9999,\, 1.0008]$ with a mean of $\mathcal{R}_{0}=1.0003$. }}
On the M-Integral Curves and M-Geodesic Sprays in Minkowski Space

Ondokuz Mayıs University Faculty of Arts and Sciences Department of Mathematics Kurupelit Samsun, Turkey eergun@omu.edu. tr Abstract In this study M -vector field Z on M , M -integral curve of Z, and M -geodesic spray concepts are given, where M is a Lorentzian manifold in Minkowski space and M is a hypersurface of M . Then, the following main theorem related with these concepts is given and proved: The natural lift α of the curve α is an M -integral curve of M -geodesic spray Z if and only if α is an M -geodesic on M . Mathematics Subject Classification: 57R25, 53B35, 58A05, 53C50
Influence of Temporal Strain Evolution on Distributed Strain Sensing with OTDR in Polymer Optical Fibers

To measure strain in ground and earthworks, polymer optical fibers (POF) applied to geotextiles can be used. In case of an optical time domain reflectometry (OTDR) measurement, the backscattered intensity increases in strained areas. The increase of backscattering (IOB) has been characterized by gradual elongation of the fiber up to 5% with different elongation levels and holding times. A dynamic behavior of the IOB has been proved. It could be shown that for the tested elongation patterns the IOB varies around 0.3% up to 0.9% for absolute strain less than 2.2% and up to 5%, respectively.
A Parametric Technique for Traps Characterization in AlGaN/GaN HEMTs

A new parametric and cost-effective technique is developed to decouple the mechanisms behind current degradation in AlGaN/GaN HEMTs under a normal device operation: self-heating and charge trapping. A unique approach that investigates charge trapping using both source (IS) and drain (ID) transient currents for the first time. Two types of charge trapping mechanisms are identified: (i) bulk charge trapping occurring on a time scale of less than 1 ms, followed by (ii) surface charge trapping with a time constant larger than a millisecond. Through monitoring the difference between IS and ID, a bulk charge trapping time constant is found to be independent of both drain (VDS) and gate (VGS) biases. Surface charge trapping is found to have a much greater impact on a slow degradation when compared to bulk trapping and self-heating. At a short timescale (< 1 ms), the RF performance is mainly restricted by both bulk charge trapping and self-heating effects. However, at a longer time (> 1 ms), the dynamic ON resistance degradation is predominantly limited by surface charge trapping.
Fully Automatic Ultrasound Fetal Heart Image Detection and Segmentation based on Texture Analysis

Ultrasound fetal heart image analysis is important for the antenatal diagnosis of congenital heart disease, therefore, design an automated fetal heart ultrasound image analysis approaches to improve detection ratio of congenital heart disease is necessary. Nevertheless, because of the complicated structure of fetal heart ultrasound image, location, detection and segmentation approaches of fetal heart images as interesting topics that get more attention. Therefore, in this work, we present a framework to segment ultrasound image automatically for tracking the boundary of fetal heart region. In the first step, this paper contributes to breed candidate regions. And then, in the segmentation progress, we apply an energy-based active contour model to detect the edges of fetal heart. Finally, in the experiment section, the performance is estimated by the Dice similarity coefficient, which calculate the spatial overlap between two different segmentation regions, and the experiment results indicate that the proposed algorithm achieves high levels of accuracy.
Origin and Accumulation Mechanism of Gas Condensate in Kailashtila Gas Field, Sylhet Basin, Bangladesh

The Kailashtila gas field (KGF) is situated in the northeastern part of Sylhet basin, Bangladesh. This paperpresents chemical characteristics of extractable natural gas in drilled well KTL-2, in order to examine their potentialsource and maturity of organic matter, and hydrocarbon accumulation mechanism in the basin. The gas condensate inthe KTL-2 composed primarily of methane (85.81 wt.%), ethane (6.68 wt.%), propane (2.13 wt.%), and traces of higherhydrocarbons (i-butane, 0.69 wt.%; n-butane, 0.73 wt.%; i-pentane, 0.50 wt.%; n-pentane, 0.44 wt.%; hexane, 1.27wt.%; heptane, 0.99 wt.%; octane, 0.24 wt.%). Nitrogen and CO2 contents in the gas condensate are low (0.46 wt.%and 0.05 wt.%, respectively). Average dry coefficient (C1/C1–5) value in the gas condensate is 0.93 (0.91–0.95), whichreflects relatively mature hydrocarbon migrating from nearby deeply buried source rocks. The δ13C1 (–39 to –40‰) andC1/C(2+3) (19.77) variation diagram show that gas condensate in the KGF is mainly controlled by type III kerogen, andthe organic matter was thermally mature in nature. However, the relationships between stable isotope value of methane(δ13C1), ethane (δ13C2) and propane (δ13C3) indicate mainly thermogenic origin of the studied gas condensate, andminor input from mixed thermogenic and bacteriogenic processes.
Using the Abaqus CDP model in impact simulations

The understanding and assessment of accidental crash scenarios on reinforced concrete structures is of high interest for safety issues. Although experimental research on this topic has already a long and successful history, there are many issues waiting to be solved as far as numerical simulations are concerned. In this article some particularities of the Abaqus Concrete Damaged Plasticity (CDP) model are investigated with the purpose of using efficiently the CDP model in impact loaded reinforced concrete structure simulations. In particular, the sensitivity of the simulation response with respect to model parameters and element size is studied. The simulation response is compared to measurements from benchmark impact tests on reinforced concrete plates.
Feeding Behavior, Abdominal Fat and Laying Performance in Laying Hens Given Diets Containing Red Pepper

Capsaicin (CAP), a pungent principle of hot pepper, enhanced the energy metabolism of rats through the beta-adrenergic action of CAP itself. The present study was done to clarify the effects of dietary red pepper on feeding behavior, abdominal fat content and laying performance in laying hens. Single Comb White Leghorn laying hens were given diets containing varying levels of red pepper (0, 2 and 10g/kg diet) ad libitum for 10 weeks. The red pepper contains 0.22% CAP. There were no significant differences in feeding behavior in any treatments. This suggests that the receptor for the pungent stimuli might be deficient in chickens. The abdominal fat content and liver color were not altered by dietary red pepper, being implied that the beta-adrenergic action of CAP might be smaller in chickens than in mammals. Laying performances were hardly influenced by dietary red pepper. Roche color fan score and the redness of egg yolk color significantly increased as the dietary red pepper content increased, but the reverse was true for the yellowness and lightness of egg yolk color.In conclusion, it is difficult to depress the excess fat deposition of laying hens by dietary red pepper through the action of CAP. Dietary red pepper is only available for the egg yolk pigmentation, particularly in redness.