Miracle-dz/UniFAR-FTUs huggingface dataset:
Evidence-based practice project to increase hospital-based cervical cancer screening compliance among registration staff

Background: High-quality Papanicolaou testing was developed in the 1940s, and when used for early detection of cervical cancer, has been shown to significantly reduce cervical cancer related deaths world-wide. Legislation, passed by many states in the United States, aims to maximize cervical cancer screening. One academic medical center (AMC) in Maryland initiated a cervical cancer screening program in 1977. A pilot, developed to assess cervical cancer screening compliance, found the screening rate at this AMC to be 51%. Objective: This project aimed to improve the knowledge of the patient service coordinators in order to increase cervical cancer screening compliance.Population: Patient service coordinator conducts registration and screening when a patient is admitted to the AMCMethods: Effectiveness of the education was measured by three assessments: 1) A pre and post knowledge survey of the patient service coordinator measuring facts about cervical cancer, the screening process, and the State of Maryland cervical cancer screening mandate; 2) a calculation of screening rates comparing the number of women screened to the number of women admitted; and 3) an assessment of the completeness of each screening form.Results: A two-tailed paired samples t-test revealed that the PSCs scored higher on the post-survey (m-7.68, s- 2.52) compared to the pre-survey (m-3.68, s-1.77), t (32) = 8.949, p â‰¤ . 0.5. A chi- square test was used to compare categorical variables. During the four weeks before the educational intervention, 34% (543 of 1602) of women were screened; 51% (279/543) screening forms were completed. For the four weeks after the educational intervention, 54% (N=735 of 1,373) of eligible women were screened; 89% (656/735) forms were completed. Both tests were found to be significant p <0.000. Interpretation: There was a significant improvement of the PSCâ€™s knowledge, 20% increase in the number of women screened, and completeness of the form increased by 38%. Conclusion: These findings suggest that an educational intervention for registration staff can increase cervical cancer screening compliance, and positively impact staff ability to screen inpatient women.
Surviving the hole I: Spatially resolved chemistry around Sgr A*

The interstellar region within the few central parsecs around the super-massive black hole, Sgr A* at the very Galactic center is composed by a number of overlapping molecular structures which are subject to one of the most hostile physical environments in the Galaxy. We present high resolution (4"x3"~0.16x0.11 pc) interferometric observations of CN, 13CN, H2CO, SiO, c-C3H2 and HC3N emission at 1.3 mm towards the central ~4 pc of the Galactic center region. Strong differences are observed in the distribution of the different molecules. The UV resistant species CN, the only species tracing all previously identified circumnuclear disk (CND) structures, is mostly concentrated in optically thick clumps in the rotating filaments around Sgr A*. H2CO emission traces a shell-like structure that we interpret as the expansion of Sgr A East against the 50 km/s and 20 km/s giant molecular clouds (GMCs). We derive isotopic ratios 12C/13C~15-45 across most of the CND region. The densest molecular material, traced by SiO and HC3N, is located in the southern CND. The observed c-C3H2/HC3N ratio observed in the region is more than an order of magnitude lower than in Galactic PDRs. Toward the central region only CN was detected in absorption. Apart from the known narrow line-of-sight absorptions, a 90 km/s wide optically thick spectral feature is observed. We find evidences of an even wider (>100 km/s) absorption feature. Around 70-75% of the gas mass, concentrated in just the 27% densest molecular clumps, is associated with rotating structures and show evidences of association with each of the arcs of ionized gas in the mini-spiral structure. Chemical differentiation has been proven to be a powerful tool to disentangle the many overlapping molecular components in this crowded and heavily obscured region.
Enacting a nonprofit-business collaboration strategy: A nonprofit sector perspective

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Internally consistent thermodynamic database for iron to the Earth's core conditions

[1] An internally consistent thermodynamic database for pure iron has been established to pressures (P) up to 360 GPa and temperatures (T) up to 7000 K from existing static experimental data and thermochemical measurements. The database includes body-centered cubic (BCC) phases (α or δ phase), the face-centered cubic (FCC) phase (γ phase), the hexagonal close-packed (HCP) phase (ɛ phase), and the liquid phase. We describe fundamental thermodynamic relations as the Gibbs free energy divided into thermochemical and thermophysical terms. The thermochemical data were evaluated from existing metallurgy databases together with experimentally determined phase relations. The thermophysical term is obtained from the pressure-volume-temperature equations of state (EoS) for the phases. We constructed an EoS of the FCC phase from our recent internally-heated diamond anvil cell (DAC) experimental data and assessed the EoS of the liquid phase from existing laser-heated DAC experiments together with density data at P = 1 bar, 0.2 GPa, and along the Hugoniot. The HCP-FCC-liquid triple point is located at P = 90 GPa and T = 2800 K. The calculated melting temperature of HCP iron at the inner core boundary (P = 330 GPa) is 4900 K and the density change at melting is −1.2%. The core density deficits at the inner core boundary are 8.1 wt. % and 5.3 wt. % for the liquid outer core and solid inner core, respectively. The calculated melting temperature is much lower than that from dynamic shock wave experiments, suggesting that the HCP structure may not be stable in the inner core. We included a hypothetical high-pressure BCC phase which could be stabilized above 220 GPa by a solid-solid transition of high-P BCC-HCP phases. This hypothetical BCC phase should have a large entropy to give a high melting temperature in order to reconcile the existing discrepancies between the static and shock wave experimental studies.
Centrodes and Lie algebra

The classical subject of planar kinematics is reviewed in the setting of Lie algebra and differential geometry. In particular, the classical centrode curves of a rigid motion are related to the derivatives in the Lie algebra. The classical subject of planar kinematics is reviewed in the setting of Lie algebra and differential geometry. In particular, the classical centrode curves of a rigid motion are related to the derivatives in the Lie algebra. Several examples of finding centrode curves in different situations are given. The case where a rigid motion is determined by one curve rolling on another is studied in some detail.
The Synthesis and Characterisation of 2-methyl-N-((4-methylpyridine-2-yl)carbamothiol)benzamide: Its Preparation with Antibacterial Study

The compound, 2-methyl-N-((4-methylpyridin-2-yl)carbamothioyl)benzamide was derived from ortho-toluylchloride and 2-amino-4-picoline. It was fully crystallised and characterised on the basis of elemental analysis, X-ray crystallography and spectroscopic techniques namely infra-red, Uv-Vis and nuclear magnetic resonance. The melting point was in the range of 164.9°C–165.8°C. The Fourier transform infrared (FTIR) analysis shows the following vibrational frequencies for ⱱ(N-H), ⱱ(C=O), ⱱ(C-N) and ⱱ(C=S) at 3237 cm, 1683 cm, 1329 cm and 1154 cm respectively. H NMR results showed chemical shifts at 9.140 ppm and 12.983 ppm for the two N-H protons. Single crystal X-ray diffraction studies on the compound showed it to be a rigid molecule due to the presence of internal hydrogen bonding. The compound shows antibacterial activity towards gram positive and gram negative bacteria.
ANFIS-based PI controller for maximum power point tracking in PV systems

Article history: Received 15 September 2017 Received in revised form 12 December 2017 Accepted 18 December 2017 This paper presents a maximum power point tracking (MPPT) control system which is designed to increase the energy generation efficiency of Photovoltaic (PV) arrays. Usually Maximum power point tracking control system uses dc-to-dc converters to compensate for the output voltage of the PV array in order to keep the voltage at the value, which maximizes the output power. The purpose of the work is to develop an adaptive neuro-fuzzy inference system (ANFIS)-based proportional integral controller. The operating temperature and level of irradiance constitute inputs for the ANFIS controller, allowing it to determine the maximum available power that the PV array possesses. The error between the reference power from the ANFIS controller and the measured voltage and current of the PV array enables the proportional integral controller to generate the duty cycle. It is shown that ANFIS-based PI controller gives better performance criteria, unlike conventional techniques which usually give associations at steady state operating conditions. Eventually, the proposed MPPT control system based on ANFIS could provide better results than conventional techniques in terms of performance, accuracy and stability.
MITIGATING DELAYS IN THE OPERATIONS OF A BUSINESS ENTITY WHEN CONVERTING TO THE ISO 55000 STANDARD

Existing business entities often employ their own operational procedures and guidelines regarding asset management. However, converting to the ISO 5500X standards can adversely affect the operational performance of these business entities. Most of these pre-existing asset management systems possess some degree of operational inertia. This operational inertia can lead to delays when change is introduced. These delays could also discourage further adoption of the ISO 5500X standards. This study sets out to describe a method that identifies sources of substantial delays within an asset management system, specifically those originating from converting to the ISO 5500X standards. The identification of these sources is achieved through the use of mathematical modelling methods. The aforementioned information can lead to appropriate planning prior to the conversion to the ISO 5500X standards. If potential delays are identified, they can be pre-emptively mitigated with said plan, thus ensuring minimal reduction in operational performance.
Albedo as a modulator of climate response to tropical deforestation

An atmospheric general circulation model with land surface properties represented by the simplified Simple Biosphere model is used to investigate the effects on local climate due to tropical deforestation for the Amazon basin. One control and three anomaly integrations of 4 years' duration are performed. In the anomaly integrations, rain forest in South America is replaced by degraded grassland. The anomaly integrations differ only in the optical properties of the grassland vegetation, with net surface albedos ranging from the same as to 0.09 lighter than that of rain forest. It is found that the change in climate, particularly rainfall, is strongly dependent on the change in surface albedo that accompanies deforestation. Replacement of forest by grass causes a reduction in transpiration and reduces frictional convergence by decreasing surface roughness. However, precipitation averaged over the deforested area is not necessarily reduced. Average precipitation decreases when the increase in albedo is greater than 0.03. If surface albedo is not increased appreciably as a result of deforestation, moisture flux convergence driven by the increase in surface temperature can offset the other effects, and average precipitation increases. As albedo is increased, surface temperature does not change, but surface latent and sensible heat flux decreases due to reduced radiational energy absorbed at the surface, resulting in a reduction in convection and precipitation. A change in the distribution of precipitation due to deforestation that appears to be independent of the albedo is observed.
Computation of elastic moduli of nanocrystalline materials using Voronoi models of representative volume elements

In the present work, a numerical model is developed to predict the Young’s modulus and shear modulus of nanocrystalline materials using a Finite Element Analysis. The model is based on Representative Volume Elements (RVE) in which the microstructure of the material is described using the Voronoi tessellation algorithm. The use of the Voronoi particles was based on the observation of the morphology of nanocrystalline materials by Scanning Electron and Transmission Electron Microscopy. In each RVE, three-dimensional modelling of the grain and grain boundaries as randomlyshaped sub-volumes is performed. The developed model has been applied to pure nanocrystallline copper at grain volume fractions of 80%, 90% and 95% taking also into account the parameters of grain size and grain boundary thickness. The elastic moduli of nanocrystalline copper have been computed by loading the RVE in tension. The numerical results reveal that the elastic moduli of nanocrystalline copper increase with increasing the grain volume fraction. On the other hand, for a given grain volume fraction, the results showed no effect of the grain size. The model predictions have been validated successfully against numerical results from the literature and predictions of the Rule of Mixtures and the Mori-Tanaka analytical model.
Optimal statistical damage detection and classification in an experimental wind turbine blade using minimum instrumentation

The increasing demand for carbon neutral energy in a challenging economic environment is a driving factor for erecting ever larger wind turbines in harsh environments using novel wind turbine blade (WTBs) designs characterized by high flexibilities and lower buckling capacities. To counteract resulting increasing of operation and maintenance costs, efficient structural health monitoring systems can be employed to prevent dramatic failures and to schedule maintenance actions according to the true structural state. This paper presents a novel methodology for classifying structural damages using vibrational responses from a single sensor. The method is based on statistical classification using Bayes’ theorem and an advanced statistic, which allows controlling the performance by varying the number of samples which represent the current state. This is done for multivariate damage sensitive features defined as partial autocorrelation coefficients (PACCs) estimated from vibrational responses and principal component analysis scores from PACCs. Additionally, optimal DSFs are composed not only for damage classification but also for damage detection based on binary statistical hypothesis testing, where features selections are found with a fast forward procedure. The method is applied to laboratory experiments with a small scale WTB with wind-like excitation and non-destructive damage scenarios. The obtained results demonstrate the advantages of the proposed procedure and are promising for future applications of vibration-based structural health monitoring in WTBs.
Macroeconomic Estimation of Selected Philippine Stock Market Indices

The study used a panel data of macroeconomic factors to estimate the determinants of performance of selected Philippine stock market indices. Monthly time-series data of macroeconomic variables (Philippine peso-dollar exchange, gold reserves, consumer price index, wholesale price index, investments and OFW remittances) and stock market returns of the banking and financial sector (FIN), holdings sector (HDG) and Philippine Stock Composite Index (PSEi) for a period covering January 2006 to December 2012. The multiple regression model was used to determine the significant macroeconomic factors that predict the returns of each stock market. Results revealed that of the three regression models derived predicting stock market indices, peso-dollar exchange rates; gold reserves and consumer price index significantly determine most of the stock market returns. As an implication, the macroeconomic determinants that were found to explain the stock market returns may guide foreign and local investors as well as industries and companies in present and future investment decisions.
Particle Association of Enterococcus and Total Bacteria in the Lower Hudson River Estuary, USA

Bacterial particle association has important consequences for water-quality monitoring and modeling. Particle association can change vertical and horizontal transport of bacterial cells, as well as patterns of persistence and production. In this study, the abundance and particle association of total bacteria and the fecal-indicator, Enterococcus, were quantified between June and October 2008 in the lower Hudson River Estuary (HRE). Twelve sites were sampled, including mid-channel, near shore, and tributary habitats, plus a sewage outfall. Total bacterial cell counts averaged 9.2 × 109 ± 6.4 × 109 cell l–1 (1 standard deviation), comparable to previous sampling in the HRE. Unlike earlier studies, bacterial abundance did not change consistently along the north/south estuarine salinity gradient. Enterococcus concentrations were highly variable, but mid-channel stations had significantly lower values than other habitat categories. Counts of total bacteria and Enterococcus were both correlated with turbidity, which was also significantly lower at mid-channel stations. A larger fraction of Enterococci were associated with particles (52.9 ± 20.9%, 1 standard deviation) than in the pool of total bacteria (23.8 ± 15.0%). This high frequency of particle association, relative to total bacteria, could cause Enterococcus to be preferentially retained near input sources because of enhanced deposition to bottom sediments, where they would be available for later resuspension. In turn, retention and resuspension in nearshore environments may explain the observed cross-channel variability of turbidity and Enterococcus. Assessments and predictive models of estuarine water quality may be improved by incorporating cross-channel variability and the effects of particle association on key indicators.
Magnetically polarized Ir dopant atoms in superconducting Ba(Fe1-xIrx)2As2

We investigate the magnetic polarization of the Ir 5d dopant states in the pnictide superconductor Ba(Fe1-xIrx)2As2 with x=0.027(2) using Ir L3 edge x-ray resonant magnetic scattering (XRMS). Despite the fact that doping partially suppresses the antiferromagnetic transition, we find that magnetic order survives around the Ir dopant sites. The Ir states are magnetically polarized with commensurate stripe-like antiferromagnetic order and long correlations lengths, ξmag>2800 and >850 A, in the abplane and along the c axis, respectively, driven by their interaction with the Fe spins. This Ir magnetic order persists up to the Neel transition of the majority Fe spins at TN=74(2) K. At 5 K we find that magnetic order coexists microscopically with superconductivity in Ba(Fe1-xIrx)2As2. The energy dependence of the XRMS through the Ir L3 edge shows a non-Lorentzian line shape, which we explain in terms of interference between Ir resonant scattering and Fe nonresonant magnetic scattering.
The battle of the e-textbook : libraries' role in facilitating student acceptance and use of e-textbooks

The objective of this study is to investigate students’ acceptance and use of e-textbooks to enable libraries to make better informed decisions about their e-book collections. The data were collected in a classroom situation surveying students that had been exposed to e-textbooks. A self-completion questionnaire was used and 254 usable questionnaires were received back. The results showed that most students would prefer to have both a printed and an e-textbook, followed by a printed textbook. Although almost half of the respondents indicated that they would prefer it if the library were to buy more e-textbooks; the others did not see a need for this option; or, alternatively, they did not care at all. However, only 44% of respondents indicated that they knew how to get access to the electronic collection in the library. It was, furthermore, a matter of concern that 82% of the respondents never, or rarely, made use of e-textbooks from the library. It is up to universities, and more specifically libraries, as distributors of information, to take the lead in developing policies, processes, and strategies to deal with e-textbooks, and to manage this electronic challenge successfully.
Knowledge Management as Source of sustainable competitive advantage(Comparative Assessment of Egerton University Farms and Private Commercial Farms

Creation and sustenance of competitive advantage continues to be the central agenda in strategic research and practice. Farms strive to survive and succeed in competition by pursuing strategies that enable them to perform better than their competitors. Therefore, the study seeks to assess knowledge management as source of sustainable competitive advantage and its impact on the performance of Egerton University farms. Performance was analyzed in terms of productivity and profitability. The productivity was assessed as mean yields per acre for crops such as wheat, barley and maize. The Dairy sector assessment looked at average milk productivity per cow per day. Profitability was analyzed using Net Farm Income and Rate of Return on Assets (ROA). The farm business is a function of land, capital, labuor and management particularly that of knowledge. In addition, it is subject to variability of prices, costs, yields and seasons. This study was necessary because the farm businesses are currently operating under a lot of competition, and thus the expected outcomes of effective knowledge management led to improved organizational effectiveness, improved productivity, a way to capture best practices, improved decision making, a more innovative organization, source of competitiveness and improved performance. The objectives were achieved by use of both secondary data obtained from the farm accounts and other productivity records while primary data was collected by the use of structured and semi-structured questionnaire from people who have had experience with or associated with the running of Egerton University farms. The data collected was analyzed using descriptive and inferential statistics with assistance of SPSS software. The hypotheses were tested using Mann-Whitney U test and Chi-Square test. The study came out with the following major findings; first the study established that the private farms were more profitable than Egerton University farms. Secondly, the study established that private Farms were more productive in both crops and milk productivity. Third, the study found out that the private farms were more aware why they acquired the information compared to Egerton University farms, a scenario which will make the private farms be more competitive than the university farms which were not clear on their reasons for acquiring information. Fourth, the private farms acquired, stored and shared information for their competitive advantage from various sources compared to Egerton University farms, a situation which made the private farms be more competitive than the university.