Miracle-dz/UniFAR-FTUs huggingface dataset:
A NEW VALIDATED SIMULTANEOUS RP- HPLC ASSAY METHOD FOR ESTIMATION OF TWO FLAVONES (APIGENIN AND GENKWANIN) IN API DRUGS

A reversed-phase high-performance liquid-chromatography method has been successfully developed for the simultaneous determination of Apigenin and Genkwanin in API drugs. The RP-HPLC method employed a Symmetry C18 reversed phase column (100 × 4.6 mm×3.5μm) with an isocratic mixture of Acetonitrile and 0.1% glacial acetic acid buffer in the ratio of (45:55; v/v) as the mobile phase. The column temperature was kept at 30°C. The flow rate was 1.0 mL/min and detection was by means of a PDA detector at wavelength of 207 nm. All the active components were successfully eluted with mean retention times of 2.02 and 5.12 min for Apigenin and Genkwanin respectively. The method was found to be linear (R 2 > 0.99), precise (RSD NMT 2.0%), accurate (recoveries 98.0–102.0%), specific, rugged and robust. The validated method can be used in routine quality control analysis of bulk drugs without any interference by excipients.
A stochastic parameterization for deep convection using cellularautomata

A well-represented description of convection in weather and climate models is essential since convective clouds strongly influence the climate system. Convective processes interact with radiation, redistribute sensible and latent heat and momentum, and impact hydrological processes through precipitation. Depending on the models’ horizontal resolution, the representation of convection may look very different. However, the convective scales not resolved by the model are traditionally parameterized by an ensemble of non-interacting convective plumes within some area of uniform forcing, representing the “large scale”. A bulk representation of the mass-flux associated with the individual plumes in the defined area provide the statistical effect of moist convection on the atmosphere. Studying the characteristics of the ECMWF ensemble prediction system it is found that the control forecast of the ensemble system is not variable enough in order to yield a sufficient spread using an initial perturbation technique alone. Such insufficient variability may be addressed in the parameterizations of, for instance, cumulus convection where the sub-grid variability in space and time is traditionally neglected. Furthermore, horizontal transport due to gravity waves can act to organize deep convection into larger scale structures which can contribute to an upscale energy cascade. However, horizontal advection and numerical diffusion are the only ways through which adjacent model grid-boxes interact in the models. The impact of flow dependent horizontal diffusion on resolved deep convection is studied, and the organization of convective clusters is found very sensitive to the method of imposing horizontal diffusion. However, using numerical diffusion in order to represent lateral effects is undesirable. To address the above issues, a scheme using cellular automata in order to introduce lateral communication, memory and a stochastic representation of the statistical effects of cumulus convection is implemented in two numerical weather models. The behaviour of the scheme is studied in cases of organized convective squall-lines, and initial model runs show promising improvements.
Cores in infrared dark clouds (IRDCs) seen in the Hi-GAL survey between l=300 degrees and 330 degrees

We have used data taken as part of the Herschel infrared Galactic Plane survey (Hi-GAL) to study 3171 infrared dark cloud (IRDC) candidates that were identified in the mid-IR (8 μm) by Spitzer (we refer to these as ‘Spitzer-dark’ regions). They all lie in the range l= 300–330° and |b|≤ 1°. Of these, only 1205 were seen in emission in the far-IR (250–500 μm) by Herschel (we call these ‘Herschel-bright’ clouds). It is predicted that a dense cloud will not only be seen in absorption in the mid-IR, but will also be seen in emission in the far-IR at the longest Herschel wavebands (250–500 μm). If a region is dark at all wavelengths throughout the mid-IR and far-IR, then it is most likely to be simply a region of lower background IR emission (a ‘hole in the sky’). Hence, it appears that previous surveys, based on Spitzer and other mid-IR data alone, may have overestimated the total IRDC population by a factor of ∼2. This has implications for estimates of the star formation rate in IRDCs in the Galaxy. We studied the 1205 Herschel-bright IRDCs at 250 μm and found that 972 of them had at least one clearly defined 250-μm peak, indicating that they contained one or more dense cores. Of these, 653 (67 per cent) contained an 8-μm point source somewhere within the cloud, 149 (15 per cent) contained a 24-μm point source but no 8-μm source and 170 (18 per cent) contained no 24- or 8-μm point sources. We use these statistics to make inferences about the lifetimes of the various evolutionary stages of IRDCs.
Edge-promoting reconstruction of absorption and diffusivity in optical tomography

In optical tomography a physical body is illuminated with near-infrared light and the resulting outward photon flux is measured at the object boundary. The goal is to reconstruct internal optical properties of the body, such as absorption and diffusivity. In this work, it is assumed that the imaged object is composed of an approximately homogeneous background with clearly distinguishable embedded inhomogeneities. An algorithm for finding the maximum a posteriori estimate for the absorption and diffusion coefficients is introduced assuming an edge-preferring prior and an additive Gaussian measurement noise model. The method is based on iteratively combining a lagged diffusivity step and a linearization of the measurement model of diffuse optical tomography with priorconditioned LSQR. The performance of the reconstruction technique is tested via three-dimensional numerical experiments with simulated data.
Understanding the association between informed choice and long-term reversible contraception among women aged 15-49 in Uganda: �ndings from the 2016 Demographic Health Survey

Long-acting reversible contraceptive (LARC) methods are superior to other modern birth control methods in preventing pregnancy as they are highly effective and have a low failure rate. The Ugandan Ministry of Health has prioritized providing long-acting reversible contraception (LARC) and ensuring informed choice within the context of family planning. This study aims to understand the relationship between informed choice and LARC use among women aged 15-49 in Uganda after adjusting for potential confounding. Methods This cross-sectional study utilizes data from the 2016 Uganda Standard Demographic and Health Survey. Thomas-Rao corrections to a chi-square test were used for the bivariable analysis. A design-adjusted multivariable logistic regression was used to estimate the association between informed choice and LARC use. Propensity score matching was conducted as a sensitivity analysis. to understand the relationship between and after use
A spectroscopic analysis of the Trapezium Cluster stars

We consider the Orion Nebula (M 42) within a project aimed at studying the interaction between massive stars and their surrounding ISM. This is an H ii region ionized by θ 1 Ori C, one of the four massive stars in the Trapezium Cluster. θ 1 Ori C has the earliest spectral type (O7Vp) among them, emitting an ionizing flux several orders of magnitude larger than those of the other stars. We present a spectral analysis of the Trapezium Cluster stars to determine their stellar parameters. We use spectra between 4250 – 4750 A and compare them with synthetic spectra obtained by means of an updated version of fastwind that includes an approximated treatment of metal-line blanketing.
EFFECT OF STRATEGIC AGILITY ACHIEVING ORGANIZATIONAL ENTREPRENEURSHIP/ FIELD STUDY IN THE OIL COMPANIES OF DHI QAR GOVERNORATE

The objective of the study was to identify the role of strategic agility in achieving organizational entrepreneurship. The dimensions of the independent variable (strategic agility) were used (strategic sensitivity, resource fluidity, clarity of vision , leadership unity) while the dimensions of the dependent variable (organizationalentrepreneurship) (innovativeness ,structural flexibility, proactiveness, risk taking). The analytical method was used on the basis of the five-dimensional Likert scale. A comprehensive inventory method was used for the members of the study society represented by managers in the oil companies of Dhi Qar Governorate. 103 questionnaires were distributed.
OF CIVIL DISOBEDIENCE AND THE IMPERATIVENESS OF THE 2009 ASUU STRIKE: IMPLICATIONS FOR A SUSTAINABLE HIGHER EDUCATION IN NIGERIA

The higher education sub-sector in the Nigerian educational system has experienced various set-backs in the recent past. The most memorable is the 2009 ASUU strike which held down academic activities in the nation’s universities for over three months. It was yet one of such endless face-off between Academic Union of Universities (ASUU) and the Federal Government of Nigeria (FGN) as a result of the refusal of the FGN to sign an agreement reached between the duo in 2001. The strike apart from holding down academic activities in the federation, affected various aspects of the nation’s socio-economic cum political lives. While some put blames on ASUU, others blamed the FGN. Though the strike was called off at the end, its consequential effects are still memorable. The aftermath of the strike is another thing to be worried about. The issues to contend with in this article therefore are: i) Will the 2009 ASUU strike be the last in the life of the country’s higher education system? ii) Did the strike yield any positive or negative result? iii) Did ASUU achieve its aims of embarking on the strike? The outcome of the study reveals that both the FGN and ASUU were responsible for the incessant and prolonged strikes that have crippled the nation’s tertiary education system. The study recommends among others that, the constitution and the Rule of Law should be guiding principles by both parties in order to safeguard the collapse of the nation’s tertiary education system. The methodology adopted in this study is strictly the philosophical with Joseph Omoregbe’s Philosophy of Civil Disobedience as the tool for evaluation.
Study about the Influence of powder mixed water based fluid on micro-EDM process

This paper discusses the performance of micro-electro-discharge machining (micro-EDM) process using different flushing media. Several tests have been performed considering a hardened steel thin workpiece machined via micro-EDM drilling and through-trench and different flushing fluids: deionized water, tap water, deionized water with Garnet, tap water with Garnet. Garnet is the abrasive material exploited in the micro- AWJ and the concentration per liter of water considered in micro-EDM experiments is the same as required in micro-abrasive water jet (micro-AWJ) machining. A customized system has been built on micro-EDM Sarix SX 200 HP machine to allow the water-based fluid refill and liquid level monitoring during the experiments. The micro-EDM trials have been carried out considering two machining regimes, roughing and semi finishing. The different water-based fluids have different electrical conductivities, which lead to different machining performance. Material removal rate (MRR) and tool wear ratio (TWR) have been estimated in terms of average and standard deviation. The results show that the presence of Garnet does not affect MRR consistently, since the particles do not play an active role in the erosion process but affect surface quality, as proved by the inspection of crater morphology and dimensions estimation performed via confocal microscope. For the considered experiments, MRR is generally increased as the conductivity decreases, in particular when semi-finishing regime is used. Also TWR decreases dramatically with the use of water-based fluids, since a protective recast layer is also deposited on the tool tip preventing wearing. Our analysis shows that micro-EDM can be successfully performed using the same liquid (water and abrasive) used in micro-AWJ, and so paves the way towards the implementation of a hybrid process based on micro-AWJ and micro-EDM technologies.
An Elastic Tube Theory of Pulse Transmission and Oscillatory Flow in Mammalian Arteries

Abstract : This work develops the concept of a thin walled elastic tube as a rough working model of an artery, and from a solution of the equations of motion of such a tube, filled with viscous liquid, a number of relationships are deduced that can be tested experimentally. The theory of pulse-wave transmission, and the relationships between pulse pressure, rate of flow, and radial expansion, are demonstrated as parts of a single logical structure. Some comparisons with experimental results are made and new experiments are proposed, as tests of the adequacy of the theory.
UNIVERSITY OF CALIFORNIA SAN DIEGO Design of Exploding Wire System A thesis submitted in partial satisfaction of the requirements for the Degree Master of Science in Structural Engineering by Elesh Lakhani Committee in Charge: Professor Veronica Eliasson, Chair

of the thesis. viii Chapter I – Introduction. 1 1.1 Background. 2 1.1.1 Shock Waves. 2 1.1.2 Shock-Shock Interaction and Shock Focusing. 4 1.1.3 Previous Studies. 9 1.2 Objectives. 11 1.3 Outline. 12 Chapter II – Experimental Setup. 14 2.1 Working Principle. 14 2.2 Electrical Components and Circuits. 14 2.3 Blast Chambers. 24 2.3 Visualization System. 30 2.4 Challenges. 32 2.5 Alternate Methods. 34 Chapter III – Results. 36 3.1 Shock propagation in 2-dimensional setting. 37 3.2 Shock-Shock Interaction and Shock Focusing in 3-dimensional setting. 39 References. 45
A Database of Artificial Urdu Text in Video Images with Semi-Automatic Text Line Labeling Scheme

— This paper describes a novel database of video images containing artificial (superimposed) Urdu text with a semi-automatic text line labeling scheme. The main objective of this study is to provide the community with a standard dataset together with an auto-labeling scheme for algorithmic development and evaluation of textual content based indexing and retrieval systems. We have specifically focused on Urdu text which is increasingly gaining research interest in recent years. The data set comprises 1000 video images collected from 19 different channels of 5 different categories. An attempt is made to capture the maximum possible variation in the text in terms of size, location, appearance and background. The data set is completely labeled by finding the bounding rectangle of each text occurrence facilitating the evaluation of text detection and localization systems. Based on our previous work on text localization, an automatic text labeling scheme is also proposed and the obtained results are compared with manual labeling. Ground truth data, supporting tasks like text recognition and word spotting will be considered in the next version of the data set.
The potential of berries to serve as selective inhibitors of pathogens and promoters of beneficial microorganisms

OBJECTIVES: Berries are distinct from other foods because of their unique compounds with bioprotective effects and antimicrobial/prebiotic properties. With new knowledge of how these unique phytochemicals differentially affect microbial communities, inhibit foodborne pathogens, and conserve beneficial species, the health claims associated with berries can be further substantiated. This review explores components of berries that have antimicrobial or prebiotic properties and incorporates new knowledge gained from both in vitro and in vivo experiments. CONCLUSIONS: With the continued research efforts, antimicrobials and prebiotics derived from berries may provide an alternative to synthetic preservatives and antibiotics in addition to providing health benefits to consumers. Berries could be applied to food products or as dietary interventions through elucidating which compounds have antimicrobial properties and how pH and nutrient condition impact their efficacy. In addition, these compounds can be added to foods with beneficial microorganisms with minimal impact on their probiotic viability.
A STUDY ON PROTECTIVE ROLE OF PRUNUS AMYGDALUS ON ALCOHOL INDUCED RETROGRADE AMNESIA

Ethanol and Prunus amygdalus (PA) are most widely used in the PA is a popular nourishing food, along with its nutritional values it also possess medicinal values like anti-stress, anti oxidant, immunostimulant, lipid lowering and laxative. Ethanol- induced retrograde amnesia was investigated using Morries Water Maze, Elevated plus Maze. Anxiety and locomotion was assessed using open field test. Rats received Prunus amygdalus suspension (150mg/kg, 300mg/kg, and 600mg/kg., oral) for 7 days, and Alcohol (3g/kg, 20%, i.p) in 6 th day of the treatment. The next day they were accessible for Behavioral assessment. Rats receiving Alcohol shows significant reduction in escape latency (MWM), Time spent in open arm (EPM), Number of ambulations and rearing (OFT) and increase in Immobility time (FST). The current study evidenced learning and memory impairment, anxiety, and depression symptoms in rats characterized by behavioral impairment, increased oxidative stress, apoptosis, following exposure to ethanol. PA suspension helps in recovery of disrupted memory after ethanol inducing alterations in brain, ultimately, improved the memory (spatial and learning), anxiety and depression. due to exposure of alcohol, which progressively increased the oxidative damage in hippocampal neurons. Prunus amygdalus (150mg/kg, 300mg/kg, 600mg/kg) attenuated exposure to alcohol induced alterations in brain, ultimately, improved the memory (spatial and learning) of rats on administration for 7 days. PA can be explored for pharmacological effectiveness in prevention and management of cognitive dysfunction.
Glycerol-3-phosphate Acyltransferase Isoform-4 (GPAT4) Limits Oxidation of Exogenous Fatty Acids in Brown Adipocytes*

Background: GPAT4 is a major GPAT isoform in brown adipose tissue. Results: Compared to control cells, brown adipocytes lacking GPAT4 oxidize 40% more exogenous fatty acids. Conclusion: GPAT4 in BAT is required to limit oxidation of exogenous fatty acid. Significance: The function of each GPAT isoform is tissue-specific and evolved to perform a unique function within a physiological context. ABSTRACT Glycerol-3-phosphate acyltransferase-4 (GPAT4) null pups grew poorly during the suckling period and, as adults, were protected from high fat diet-in-duced obesity. To determine why Gpat4 -/- mice failed to gain weight during these two periods of high-fat feeding, we examined energy metabolism. Compared to controls, the metabolic rate of Gpat4 - /-mice fed a 45% fat diet was 12% higher. Core body temperature was 1 º C higher after high-fat feeding. Food intake, fat absorption, and activity were similar in both genotypes. Impaired weight gain in Gpat4 -/- mice did not result from increased heat loss, because both cold tolerance and response to a β3-adrenergic agonist were
Digitizing Real-World Scenes from Images

The geomatics synthesis project is a first year project that is carried out by teams of five students and combines the geomatics background with practical work. The existence of an involved external stakeholder may define the aims of the research and provide the appropriate equipment, but all the problems have to be answered by the team. The final project will be presented at the 2018 Geomatics day which subject is innovative application of Geomatics. This report is written by Digitizing real-world scenes from Images team and presents the process of creating a handy software that helps in geomatics applications. The software will extract points clouds and 3D models of various scenes from a sequence of overlapping images. Softwares that enable easy and fast acquisition can be very useful tools in geomatics engineers’ hands. In the following pages we will examine the sequence of algorithms required for that transformation, as well as the relative coding environment. The main challenges the team had to overcome was the familiarization with the new classes and libraries and the development of a solid cooperation that will enable the integration of the individual parts to the final project. In this process we were guided by our teachers Liangliang Nan and Ravi Peters. We would like to thank them for their help and guidance during this project
Investigate the Performance of Spectrum Sensing Cognitive Radio Users through Energy Detection

: ith the development of a new and ever expanding wireless applications and services, spectrum resources are facing in demands. In present scenario, the spectrum allotment has been done by providing each new service with its own fixed frequency Slot. Most of the user’s spectrum is already assigned, so it becomes very difficult to find spectrum for other users or existing users. This leads to the scarcity of available spectrum and inefficient channel utilization. Cognitive radio is a novel technology which improves the spectrum utilization by allowing secondary user to borrow unused radio spectrum from primary licensed users or to share the spectrum with the primary users. Present paper deals with the spectrum sensing in which multiple users detect the spectrum gap through energy detection and investigate the detection performance in an efficient and implementable way. Simulation results showed that the probability of detection increases significantly when SNR increases in cognitive environment.
SHAPE Project Axyon: a scalable HPC Platform for AI Algorithms in Finance

With the advent of Big Data, the increasing use of AI algorithms in finance and the consequently fast-growing need for computational power, it has become necessary for FinTech companies to use large scalable HPC systems able to handle and explore a wide array of Machine Learning models (e.g. deep neural networks) and to remain up-to-date with state-of-the-art methods. With this work, we wanted to maximize the efficiency of accessing different types of remote computational resources potentially available to our proprietary Machine Learning platform, without losing the flexibility provided by in-house compute power. This is a mandatory requirement for a FinTech company oftentimes working with proprietary data that cannot be uploaded to cloud systems. In this whitepaper, we outline the development of a scalable and flexible DB-centric Master-Slave system architecture able to exploit any connected internal or external computational resource (including an HPC cluster) in a flawless and secure way.
Factors Affecting the Placement of Implant in Irradiated Bone: A Literature Review

The success rates of osseointegrated implants used to restore patients who were irradiated for head and neck tumors are greatly influenced by radiation-induced changes in the hard and soft tissues. There are increasing number of reports indicate successful use of dental implants (DI) during oral rehabilitation for head and neck cancer patients undergoing tumor surgery and radiation therapy. Patients cannot use conventional dentures due to the adverse effects of radiation therapy, which include dryness of the mouth or fragile mucosa, in addition to compromised anatomy. Implant-supported dentures are a feasible option for such patients. However, the adverse effects of radiation including osteoradionecrosis, are well documented in the literature, and early loss of implants in irradiated bone has also been reported.