Miracle-dz/UniFAR-FTUs huggingface dataset:
Antipseudomonal property of honey and aminoglycosides

Pseudomonas aeruginosa has an ability to rapidly develop resistance to most antimicrobial compounds, and to check this ability. The isolates were collected from different pathological human sources and tested for their sensitivity to aminoglycoside antibiotic and to honey, a natural product that is generating renewed interest for its therapeutic application using Kirby Bauer disc diffusion technique. Aminoglycoside antibiotic which is normally active against gram-negative bacteria was used alongside honey. The 29 isolates of P. aeruginosa showed 100%sensitivity to honey tested in their undiluted form. This was not the case with gentamicin (10I¼g) and amikacin (30 I¼g), both of which varied in their antipseudomonal activity, like even 1:2 aqueous dilution of honey appreciably inhibited pseudomonal isolates than either of the two aminoglycoside antibiotic. Honey is therefore suggested as an effective natural product in overcoming the widespread antibiotic resistance of P. aeruginosa.
Introducing Mantasha! Your new coding buddy and assistant

This paper presents an improved chatbot system in the in the world of app development and programming, by using Artificial Intelligence techniques. The model proposed in this work analyses a developer’s app code or program source code then it would apply some Big Data and Machine Learning techniques to generate a better code of that program. The source code or text is first passed through a text document tagger then a RPC is generated according to the program’s source code and Mantasha (The AI Program) compares the code in a big database with several other templates. After that Mantasha triggers her Neural schema, to generate a improved clone of the program by using its Training data, and compares the code on internet, and various sources, to find a better clone for the source code of the program, When a developer is debugging any app, Mantasha’s Speech recognition engine and Neural Schema will keep a track on developers work, and will notify him with a solution in case of coding and logical error. Mantasha is developed on C#, her neural schema uses SYN SIML programming language and python for learning things, big data engine uses SQL server local express. The result of the proposed model is improvement over similar work by other researchers [1, 2, 3]. This model has various applications like improving a developer’s knowledgebase, developing better apps, teaching ‘how to code’ to students, and many others
Experimental study of axial flow in a vortex ring

For a vortex ring at Re=1600, it was found that two types of azimuthal flow (axial flow) exist inside the vortex tube. The axial flow appears when the amplitude of a wavy deformation of the vortex ring becomes appreciable. The axial flow starts to grow before the wave-breaking and its speed increases gradually. In order to investigate the relation between the deformation of the vortex core and the axial flow, the flow field was examined experimentally using smoke visualization and the smoke wire technique simultaneously. Axial flow velocities are estimated from flow visualization images.
Prevalence of Anemia and Associated Factors among PHIVs Attendants Antiretroviral Therapy Clinics in Public Health Institutions in Dire Dawa Town, East Ethiopia

Background : Anemia is one of the most commonly observed hematological abnormalities and an independent prognostic marker of Human Immunodeficiency virus (HIV) disease progression in people living with HIV. However, there is limited evidence on the magnitude and its correlates among attendants of Antiretroviral Therapy (ART) in low-income countries including Ethiopia. Objective : The aim this study was to determine Prevalence of anemia and associated factors among PHIVs attendants Antiretroviral Therapy clinics in public health institutions in Dire Dawa Town, East Ethiopia Methods: An institution based cross - sectional study design was used from mid January to mid February 2014.The study participants were selected by using simple random sampling technique. A pre- tested structured questionnaire was used to collect data. Both bivariate and multivariable logistic regressions were used to identify associated factors. Hematological and immunological data were collected by using blood samples. Odds ratio along with 95% confidence interval was estimated to identify factors associated with anemia among the study population using a multivariable logistic regression. Results : The prevalence of anemia was 41.2%, 95% CI (36.7%, 45.9%). In multivariable logistic regression analysis, being female[AOR=1.95, 95% CI (1.22, 3.11)], use of different types of zidovudine (AZT) based Highly Active Antiretroviral Therapy (HAART) : 1c:AZT+3TC+ neverapine [ AOR=2.56 , 95% CI (1.28,5.12) ] , and 1d: AZT+3TC + Evaferenz [ AOR=2.99 , 95% CI(1.27,7.03)] , overall ART category: zidovudine - based HAART [ AOR=2.98, 95% CI (1.27,6.99)] , WHO’s HIV clinical stage III [AOR=2.49, 95% CI: (1.24, 5.01)] and stage IV [AOR= 5.92, 95% CI (1.26, 27.8)] , and lower CD4 count [AOR=2.34, 95% CI (1.10,4.98)] were independently associated with anemia . Conclusion : Macrocytic anemia was common among patients taking Antiretroviral Therapy. The likelihood of developing anemia increases with disease progression associated decreased immunological state and use of zidovudin-based HAART. Therefore, those factors associated with anemia among PHIVs would be emphatically considered comprehensive care and treatment for PHIVs by including anemia treatment and prevention strategies by police makers in collaboration with others responsible bodies. Keywords: Anemia, Antiretroviral Therapy, Ethiopia, Dire Dawa , Macrocytosis, Zidovudin.
Study of the role of L-arginine in the diagnosis of pregnancy-induced hypertension

Background Pregnancy-induced hypertension (PIH) is a significant health issue in pregnancy, complicating 7–10% of pregnancies. L-arginine is an important mediator of vasodilation with a potential preventative role in pregnancy-related hypertensive diseases. Aim of the study The aim of the present study was to assess the differences in plasma L-arginine concentrations in physiological pregnancies and pregnancies complicated with hypertension in the third trimester. Material and methods Plasma concentration of L-arginine was determined by ion-exchange chromatography in 210 pregnant women (25–41 weeks of gestation). Plasma L-arginine concentration was expressed in μmol/cm 3 . Results The mean L-arginine concentration was significantly higher in physiological pregnancy (0.102) than in the PIH group (0.034). The analysis of plasma L-arginine concentration in the subgroups of third trimester showed that L-arginine concentration in the PIH group decreased with increasing stage of pregnancy (25–34 hbd — 0.051; 35–38 hbd — 0.03; 39–41 hbd — 0.02). L-arginine concentration in physiological pregnancies was the same in all subgroups (0.1). Conclusions L-arginine may have a role in the prevention and treatment of pregnancy-induced hypertension. Further well-designed and adequately powered research is warranted.
Recognition of Facial Expressions using Local Mean Binary Pattern

In this paper, we propose a novel appearance based local feature extraction technique called Local Mean Binary Pattern (LMBP), which efficiently encodes the local texture and global shape of the face. LMBP code is produced by weighting the thresholded neighbor intensity values with respect to mean of 3 x 3 patch. LMBP produces highly discriminative code compared to other state of the art methods. The micro pattern is derived using the mean of the patch, and hence it is robust against illumination and noise variations. An image is divided into M x N regions and feature descriptor is derived by concatenating LMBP distribution of each region. We also propose a novel template matching strategy called Histogram Normalized Absolute Difference (HNAD) for comparing LMBP histograms. Rigorous experiments prove the effectiveness and robustness of LMBP operator. Experiments also prove the superiority of HNAD measure over well-known template matching methods such as L2 norm and Chi-Square measure. We also investigated LMBP for facial expression recognition low resolution. The performance of the proposed approach is tested on well-known datasets CK, JAFFE, and TFEID.
Estimation of gravity noise variance and signal covariance parameters in least squares collocation with considering data resolution

The article describes an implementation of the negative log-likelihood function in the determination of uncorrelated noise standard deviation together with the parameters of spherical signal covariance model in least squares collocation (LSC) of gravity anomalies. The correctness and effectiveness of restricted maximum likelihood (REML) estimates are fully validated by leave-one-out validation (LOO). These two complementary methods give an opportunity to inspect the parametrization of the signal and uncorrelated noise in details and can provide some guidance related to the estimation of individual parameters. The study provides the practical proof that noise variance is related with the data resolution, which is often neglected and the information on a priori noise variance is based on the measurement error. The data have been downloaded from U.S. terrestrial gravity database and resampled to enable an analysis with four different horizontal resolutions. These data are intentionally the same, as in the previous study of the same author, with the application of the planar covariance model. The aim is to compare the results from two different covariance models, which have different covariance approximation at larger distances. The most interesting outputs from this study confirm previous observations on the relations of the data resolution, a priori noise variance, signal spectrum and LSC accuracy.
afterdeployment.org: A Web-Based Multimedia Wellness Resource for the Postdeployment Military Community

Practicing psychologists and other health professionals are facing a growing patient population of United States military service members with significant psychological and behavioral health concerns returning from war zones in Afghanistan and Iraq. Some of these issues are new and unfamiliar to many health providers. Furthermore, because of a military culture of self-reliance, strength, and the perceived stigma of seeking mental health services, a second and substantial population of service members-in-need is choosing not to consult health professionals at all. The Internet and other networked multimedia technologies now offer a rich expert resource for providers, and an anonymous, less stigmatizing venue for self-management for service members and their families. Over the last 2 years the U.S. Defense Department’s National Center for Telehealth & Technology has developed afterdeployment.org ,a Web-based set of resources, tools, and aids for service members, veterans, and their families. afterdeployment.org provides education and skills-development exercises aimed at overcoming challenges to the adjustment process after a deployment. The Website also provides health professionals with a comprehensive resource to serve as an adjunct to face to face treatment of individuals in the military community.
The effects of information, data and redundant cue load on multi-perspective performance reporting

This Conference Paper is brought to you by the Faculty of Business at ePublications@bond. It has been accepted for inclusion in Faculty of Business Publications by an authorized administrator of ePublications@bond. For more information, please contact Bond University's Repository Coordinator. Recommended Citation Errol Iselin, Lokman Mia, and John Sands. (2006) "The effects of information, data and redundant cue load on multi-perspective performance reporting". Jul. 2006.
InSAR slip rate determination on the Altyn Tagh Fault, northern Tibet, in the presence of topographically correlated atmospheric delays

The interseismic strain across the Altyn Tagh Fault at 85°E has been measured using 59 interferograms from 26 ERS‐1/2 SAR acquisitions on a single track for the period 1993–2000. Using an atmospheric delay correction that scales linearly with height, we estimate the left‐lateral strike‐slip motion to be 11 ±1σ 5 mm/yr, assuming no relative vertical motion and a 15 km fault locking depth. This is in agreement with sparse GPS measurements. The atmospheric delay corrections agree well with coarse contemporaneous modelled weather data, reinforcing the importance of correcting for atmospheric delays in InSAR studies of interseismic strain accumulation, particularly in areas of high topographic relief that strongly correlate with the expected tectonic signal. We also find that, in addition to the tropospheric water vapour ‘wet’ delay, the hydrostatic ‘dry’ delay makes a significant contribution to the signal.
Three-group ROC predictive analysis for ordinal outcomes

ABSTRACT Measuring the accuracy of diagnostic tests is crucial in many application areas including medicine, machine learning, and credit scoring. The receiver operating characteristic (ROC) surface is a useful tool to assess the ability of a diagnostic test to discriminate among three-ordered classes or groups. In this article, nonparametric predictive inference (NPI) for three-group ROC analysis for ordinal outcomes is presented. NPI is a frequentist statistical method that is explicitly aimed at using few modeling assumptions, enabled through the use of lower and upper probabilities to quantify uncertainty. This article also includes results on the volumes under the ROC surfaces and consideration of the choice of decision thresholds for the diagnosis. Two examples are provided to illustrate our method.
Young leading innovators and the EU's R&D intensity gap

Europe's innovation gap relative to the USA is often attributed to its industrial structure in which new firms do not play a significant role, especially in high-tech sectors. This view of a structural European Union (EU) innovation deficit is popular in European innovation policy discussions, but has received little or no thorough empirical investigation. This article aims to address this ‘evidence gap’. Using industrial R&D Scoreboard data from leading world innovators, we find that compared to the USA, the EU has fewer young firms among its leading innovators. Using a decomposition analysis, we show that having fewer young firms accounts for about one-third of the EU–US differential in R&D intensity, while 55% of the differential is due to the fact that young leading innovators in the EU are less R&D intensive than their US counterparts. Further analysis shows that this is almost entirely due to a different sectoral composition. We thus confirm that the EU–US private R&D gap is indeed mostly a structural issue.
Impact of the Asian monsoon anticyclone on the variability of mid-to-upper tropospheric methane above the Mediterranean Basin

Abstract. The space and time variabilities of methane (CH4) total column and upper tropospheric mixing ratios are analysed above the Mediterranean Basin (MB) as part of the Chemical and Aerosol Mediterranean Experiment (ChArMEx) programme. Since the analysis of the mid-to-upper tropospheric CH4 distribution from spaceborne sensors and model outputs is challenging, we have adopted a climatological approach and have used a wide variety of data sets. We have combined spaceborne measurements from the Thermal And Near infrared Sensor for carbon Observations – Fourier Transform Spectrometer (TANSO-FTS) instrument on the Greenhouse gases Observing SATellite (GOSAT) satellite, the Atmospheric InfraRed Spectrometer (AIRS) on the AURA platform and the Infrared Atmospheric Sounder Interferometer (IASI) instrument aboard the MetOp-A platform with model results from the Chemical Transport Model (CTM) MOCAGE, and the Chemical Climate Models (CCMs) CNRM-AOCCM and LMDz-OR-INCA (according to different emission scenarios). In order to minimize systematic errors in the spaceborne measurements, we have only considered maritime pixels over the MB. The period of interest spans from 2008 to 2011 considering satellite and MOCAGE data and, regarding the CCMs, from 2001 to 2010. Although CH4 is a long-lived tracer with lifetime of ~12 years and is supposed to be well mixed in the troposphere, an east–west gradient in CH4 is observed and modelled in the mid-to-upper troposphere with a maximum in the Western MB in all seasons except in summer when CH4 accumulates above the Eastern MB. The peak-to-peak amplitude of the east–west seasonal variation in CH4 above the MB in the upper troposphere (300 hPa) is weak but almost twice as great in the satellite measurements (~25 ppbv) as in the model data (~15 ppbv). The maximum of CH4 in summer above the eastern MB can be explained by a series of dynamical processes only occurring in summer. The Asian monsoon traps and uplifts high amounts of CH4 to the upper troposphere where they build up. The Asian Monsoon Anticyclone redistributes these elevated CH4 amounts towards North Africa and the Middle East to finally reach and descend in the eastern MB. In the lower troposphere, the CH4 variability is mainly driven by the local sources of emission in the vicinity of the MB.
The ‘Ecosystem’ Approach to Managing Human Uses and Abuses of Natural Resources in the Great Lakes Basin

An approach to planning, research, and management, that relates people to ecosystems of which they are part, is described and related to the Canada-United States Great Lakes Water Quality Agreements of 1972, 1978, and 1987. Factors favouring the development of an ‘ecosystem approach’ in the Great Lakes Basin include: a shared, highly valued resource; the long residence-times of ‘conservative’ pollutants in the Lakes; use of the Lakes for drinking-water supplies by c. 23 million people; threats to the integrity of the Lakes (pollution, water diversion); advances in ecosystem theory; the rise of voluntary membership associations with interests in the resource; institutional arrangements for managing nationally shared resources; and common economic ties and cultural heritages. The principal obstacle to implementation of an ‘ecosystem’ approach in the Great Lakes Basin is the lack of policies for comparable approaches in the political jurisdictions surrounding the Great Lakes. The principal obstacle to global implementation of an ‘ecosystem’ approach is the lack of international institutional arrangements for joint advice and operational capabilities in respect of the management of nationally shared resources. Another impediment is the widespread egocentricity of governments, corporations, individuals, and the general public.
Who wants to become a teacher? Typology of student-teachers’ commitment to teaching

Abstract Understanding student-teachers’ decisions to enter and stay in the teaching profession after graduation could help teacher educators to find appropriate procedures to enhance commitment to teaching. This study classified student-teachers based on their levels of commitment to teaching, and described these types based on student-teachers’ motivation to enter the teaching profession and their perceptions of the teaching profession and environmental aspects e.g. school condition and significant others. Thirty-seven undergraduate student-teachers from the Dar es salaam University College of Education in Tanzania were interviewed. Four student-teacher types from our results were identified: (1) committed passionate, (2) committed compromisers, (3) undecided and (4) uncommitted. Implications from the findings include the importance of designing teacher education curriculum in a way that caters for the needs of student-teachers in each type in order to enhance their commitment to teaching.
ANALYSIS OF THE CASSON FLUID MODEL FOR BLOOD FLOW THROUGH AN ARTERY WITH MILD STENOSIS

In this paper, flow of the blood through asymmetric artery with mild stenosis has been investigated. The effect of asymmetrical shape and non–Newtonian behaviour of blood, represented by Casson fluid, are simultaneously considered. The expressions for velocity, resistance impedance, wall shear stresses and wall apparent viscosity are computed. The graphical results have been examined for different values of the parameters involved on the problem. It was observed that the resistance impedance increases as the stenosis length, stenosis size and flow rate increase, and it decreases as the stenosis shape parameter and yield value increases. It has been shown that the axial velocity and the apparent viscosity give larger values in the upper–region as compared these values in the lower–region. Also, the apparent viscosity increases as stenosis size, stenosis shape parameters and yield value increase while it decreases when flow rate increases. Further, when stenosis shape parameter increases, there is a convergence at the curves of the wall shear stresses in the upper–region while these is divergence at them in the lower–region.
NUTRITIONAL STATUS OF WORKING CHILDREN AS A NEGLECTED GROUP IN KERMANSHAH

Introduction: Working at an early age can have adverse consequences on health. Working children due to their occupational hazards are at risk of communicable and non-communicable diseases such as malnutrition, anemia and growth retardation. This study aimed to determine the nutritional status and prevalence of anemia in working and non-working children. Material and Methods: This case-control study was carried out as cross-sectional, on 90 working and 90 nonworking 8-18 year-old boys in Kermanshah. The data gathering tools were demographic and food frequency questionnaires (FFQ). Anthropometric parameters were measured using standard tools. 5 ml blood for blood biomarkers test was collected from the participants. Results: Average height and weight of the working children were respectively 3.7 cm and 5.7 kg less than of those of the non-working children (P = 0.02). Prevalence of iron deficiency in working children was more than double in non-working children (28% vs 11.3%, P = 0.01). Hemoglobin concentration in working children was significantly less than that in non-working children (p=0.05). Except for bread and cereals, the working children’s consumption of all food groups was significantly less than that of non-working children (P <0.001). Conclusion: Working children are at the risk of developing anemia and malnutrition so they need emergency nutritional supports.
Discontinuous evolution of single‐crystal elastic constants as a function of pressure through the C2/c ↔ P21/c phase transition in spodumene (LiAlSi2O6)

A Landau free energy expansion in one order parameter has been developed to describe the first-order C2/c ↔ P21/c phase transition at high pressures in spodumene (LiAlSi2O6). The complete set of elastic constants required for this model was determined at ambient conditions by resonant ultrasound spectroscopy. Other coefficients in the 246 expansion were calibrated using lattice parameter data from the literature, which had been collected by following the transition in a diamond anvil cell. The complete calibration leads to predictions of significant, abrupt changes in elastic constants at the transition point, 3.19 GPa, which have then been tested against ultrasonic data obtained in situ at high pressures in a uniaxial split cylinder apparatus. Velocities of compressional waves in three mutually perpendicular directions through single crystals of spodumene were measured and used to extract elastic constant data. The transition, indeed, causes large, abrupt changes of single-crystal elastic constants with increasing pressure. Steep increases in attenuation were also observed in the vicinity of the transition point for two directions and over a broader pressure interval in the third direction. The Landau expansion reproduces the general form of the elastic anomalies, even though it does not do as well for spontaneous strain variations. If this type of transition occurred in mantle pyroxenes (or in any other mantle phase), it would be expected to leave a distinctive signature in seismic velocity profiles of the Earth's interior.