Miracle-dz/UniFAR-FTUs huggingface dataset:
The dynamics of institutional pressures and stakeholder behavior in national electronic health record implementations: A tale of two countries

Through electronic health record implementation, national healthcare systems are aiming for care integration and enhancement. However, the path to large-scale electronic health record implementation is seldom smooth, involving multiple stakeholders with diverse interests and influences. This study proposes a framework that draws on both stakeholder and institutional theories to understand the complex dynamics of stakeholder interactions and institutional pressures over time during electronic health record systems implementation. This framework is utilized to analyze the national electronic health record programs of Singapore and England, which provide contrasting perspectives on how two top-down system implementations took place with different outcomes. Our results suggest that in the Singapore case, the presence of boundary spanners, supporting implementation agency that included IT staff from healthcare organizations, and greater engagement with medical professionals were associated with more positive dynamics of stakeholder interactions (e.g. limited pushback from professionals or the press) during electronic health record implementation than in England. Differences in the healthcare structures and systems, electronic health record project organization, and the combined influences of institutional pressures shed light on the varying implementation paths and outcomes in the two cases. This study adds to the health information technology literature through a comparative examination of the organizational and social processes during complex national healthcare integration projects. It also contributes to the institutional and stakeholder literatures in several ways, in particular by depicting the processes and outcomes of the dynamics of isomorphic pressures played out under different institutional conditions. Finally, our proposed framework provides a useful conceptual tool for analyzing such complex IT implementations across multiple stakeholders.
EFFECT OF FOLIAR SPRAY (ALGAE EXTRACT) , COMPOST AND BIO FERTILIZER ON WHEAT PRODUCTIVITY

A field experiment in the form of split-split plot design with three replications was conducted at Mashtool ElSouk, AlSharkia Governorate, Egypt during 2016/2017 and 2017/2018 growing seasons. The aim of study is to determine the effect of different foliar spray (Algae extract) level (without, 0.50 and 0.75 cm/l) and different compost levels (without, 6 and 8 ton/fad) in absence or presence of biofertilizer on wheat yield The results can be summarized as follows: 1Data indicate that there are significant differences of foliar concentrations as algae extract, compost levels and bio fertilizer for all studied characters in the two seasons. 2Spraying wheat plants with algae extract at the highest concentration (0.75 cm/L) gave a significant increase of most yield components as well as grain straw and biological yields compared to the other two concentrations with exception of grain no./spike which no addition of algae extract recorded the highest significant values of all characteristics in both seasons 3-The addition of compost at the highest rate (8 ton/fad) resulted in a significant increase of most yield components and wheat yields comparing with the other two rates except the parameter of grain no./spike as mentioned before . Such results were the same in two seasons. 4-The addition of biofertilizer caused the highest significant values of the Journal of Environmental Sciences (JES) Institute of Environmental Studies and Research, Ain Shams University Mohamed, Asmaa et al. Vol.(50); Iss. (1); No.(4); Jan.2021 ISSN 1110-0826 24 above mentioned characteristics except for grain no./spike which the highest values of such character resulted from no addition of biofertilizer. The two seasons had the same results. 5-It must be mentioned that the interaction effect among the three factors under study took the same trend of such individual factors where the application of algae extract at the level of 0.75 cm/L and compost level 8 ton /fad as well as applied biofertilizer resulted in the highest significant values of all parameters mentioned before, with exception of grain no./spike which was the highest with no addition of any factors under study, such results were similar in both seasons.
Abundance and diurnal activity patterns of hooded vulture (Necrosyrtes monachus Temminck,) in Addis Ababa abattoirs enterprise, Addis Ababa, Ethiopia

Hooded vulture (Necrosyrtes monachus) is an African endemic scavenger listed as Critically Endangered species. The population is declining across its range and there is threat of significant decline in population and distribution in Ethiopia. Little efforts have been made to properly document the status of vulture population and their diurnal activity patterns in the country for ensuring long term conservation measures. A study was conducted in Addis Ababa Abattoirs enterprise, Ethiopia from November 2019 to January 2020 to investigate the abundance and diurnal activity patterns of hooded vultures. The abundance of these vultures was estimated by direct counts method at their feeding sites and scan sampling was employed to study the diurnal activity patterns of hooded vultures from dawn to dusk. Hooded vulture mean abundance was 216±40 at the abattoir. Their diurnal activity pattern showed that they were observed feeding, resting (perching, watching and basking), preening, roosting and others activities such as walking, drinking, chasing and flying. They spent 37.73% of their time in resting followed by others (including walking, drinking, chasing and flying) (27.73%). The major threat recorded for theses vultures in the abattoir includes shortage of food, human disturbances, negative attitudes and lack of awareness on the importance of the species. Further ecological studies and impacts of human activities on Addis Ababa Abattoirs enterprise should be conducted for the conservation of hooded vulture and other conspecifics in the area.
Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment

ABSTRACT Wildfires are extremely destructive disasters that cause significant loss of lives, forest cover and wildlife. This is due to their uncontrolled, erratic, rapid spread and behaviour. The incidence of wildfires is expected to increase worldwide because of Global Warming. Henceforth, it becomes increasingly important to detect and tackle such fires in their infancy to minimise their adverse effects. IoT technology has shown an exponential growth in recent years. Moreover, deployment of IoT devices to monitor and collect time-critical data is pressing need of hour. This research proposes an effective Fog-IoT centric framework for timely detection of wildfires. The proposed methodology provides an efficient real-time solution to dilute the destruction caused by wildfires. Initially, K-means Clustering is used to detect the wildfire outbreak at fog layer followed by real-time alert generation to the administration and community. Furthermore, cloud layer based Adaptive Neuro Fuzzy Inference System is used for assessing the vulnerability of a forest block to forest fires as well as classifying it into one of the five risk zones based on Forest Fire Vulnerability Index. Implementation results of the proposed framework prove its efficiency in detecting and predicting wildfires. In addition, real-time alert generation further enhances the efficacy of the proposed system.
Engagement in business simulation games: A self-system model of motivational development

This research draws on the self-system model of motivational development to explain how the use of business simulation games in class facilitates students? engagement and enhances their learning. Based on a survey of 360 undergraduate students who played a business simulation game in a marketing course, the findings show that students? perceptions of competence, autonomy, relatedness and self-efficacy have a positive impact on their cognitive, emotional and behavioural engagement. In addition, cognitive and emotional engagement have a positive influence on skills development and perceived learning.
Socioeconomic Inequalities in Care-Seeking for Children Under Five Before and After the Free Healthcare Initiative in Sierra Leone: An Analysis of Population-Based Survey Data

Background: There are real socioeconomic inequalities between and within countries, leading to disparities in the use of health services. In children under five years of age, this could be responsible for child mortality by depriving children of healthcare. By removing healthcare fees, the Free Healthcare Initiative (FHCI) adopted in Sierra Leone can contribute to reducing these inequities in healthcare-seeking for children. This study aimed to assess the socioeconomic inequalities in healthcare-seeking for children under five years of age before and after the implementation of the FHCI.Methods: We included 1207, 2815, and 1633 children under five years of age with fever from the 2008, 2013, and 2016 nationwide surveys database, respectively. Concentration curves were drawn for the period before (2008) and after (2013 and 2016) the implementation of the FHCI to assess socioeconomic inequalities in healthcare-seeking. Finally, concentration indices were calculated to understand the magnitude of these socioeconomic inequalities.Results: We found that before the implementation of the FHCI, there were inequalities in care-seeking for children under five (concentration index (CIn) = 0.168, standard error (SE) = 0.049) in favor of the wealthy households. These inequalities decreased after the implementation of the FHCI but remained in favor of the rich households (CIn = 0.039, SE = 0.040). There were more disparities in the healthcare-seeking between districts before the implementation of the FHCI. After the initiation of the FHCI, these disparities were reduced, and 12 of the 14 districts had a CIn around the value of equality. Conclusion: Our study observed pro-rich inequalities in care-seeking for children under five years of age before the implementation of the FHCI and a decrease in these inequalities after its implementation, even if it remained pro-rich. To continue to reduce wealth-related inequalities, policy actions can focus on the increase of availability of health services in the districts where the care-seeking was pro-rich.
Development and Validation of a Primary Care Electronic Health Record Phenotype to Study Migration and Health in the UK

International migrants comprised 14% of the UK’s population in 2020; however, their health is rarely studied at a population level using primary care electronic health records due to difficulties in their identification. We developed a migration phenotype using country of birth, visa status, non-English main/first language and non-UK-origin codes and applied it to the Clinical Practice Research Datalink (CPRD) GOLD database of 16,071,111 primary care patients between 1997 and 2018. We compared the completeness and representativeness of the identified migrant population to Office for National Statistics (ONS) country-of-birth and 2011 census data by year, age, sex, geographic region of birth and ethnicity. Between 1997 to 2018, 403,768 migrants (2.51% of the CPRD GOLD population) were identified: 178,749 (1.11%) had foreign-country-of-birth or visa -status codes, 216,731 (1.35%) non-English-main/first-language codes, and 8288 (0.05%) non-UK-origin codes. The cohort was similarly distributed versus ONS data by sex and region of birth. Migration recording improved over time and younger migrants were better represented than those aged ≥50. The validated phenotype identified a large migrant cohort for use in migration health research in CPRD GOLD to inform healthcare policy and practice. The under-recording of migration status in earlier years and older ages necessitates cautious interpretation of future studies in these groups.
Genome-wide Identification of the POD Gene Family and their Expression Profiling in Grapevine (Vitis vinifera L)

The purpose of this study is by extending the analysis of class III peroxidases (PODs) in grapevine and provide further insights into the organ-specific developmental role in transcriptional dynamics and gene duplication analysis of this economically important fruit crop species. Herein, we comprehensively identified 47 PODs in the grapevine genome and are further classified into 7 subgroups based on their phylogenetic analysis. Results of motif composition and gene structure organization analysis revealed that PODs in the same subgroup shared similar conjunction while the protein sequences were highly conserved. Intriguingly, the integrated analysis of chromosomal mapping and gene collinearity analysis proposed that both dispersed and tandem duplication events contributed to the expansion of PODs in grapevine. Also, the gene duplication analysis suggested that most of the genes (20) were dispersed followed by (15) tandem, (9) segmental or whole-genome duplication, and (3) proximal, respectively. The evolutionary analysis of PODs, such as Ka/Ks ratio of the 15 duplicated gene pairs were less than 1.00, indicated that most of the gene pairs exhibiting purifying selection and 7 pairs underwent positive selection with value greater than 1.00. The Gene Ontology Enrichment (GO), Kyoto Encyclopedia of Genes Genomics (KEGG) analysis, and cis-elements prediction also revealed the positive functions of PODs in plant growth and developmental activities, and response to stress stimuli. Further, based on the publically available RNA-sequence data, the expression patterns of PODs in tissue-specific response during several developmental stages revealed diverged expression patterns. Subsequently, 30 genes were selected for RT-PCR validation in response to (NaCl, drought, and ABA), which showed their critical role in grapevine. In conclusion, we predict that these results will lead to novel insights regarding genetic improvement of grapevine.
A Large-scale Dataset for Decision Making Algorithms

We build and publicize the Open Bandit Dataset and Pipeline to facilitate scalable and reproducible research on bandit algorithms. Theyareespeciallysuitablefor off-policyevaluation (OPE),whichattemptstopredicttheperformanceofhypothetical algorithms using data generated by a different algorithm. We construct the dataset based on experiments and implementa-tionsonalarge-scalefashione-commerceplatform, ZOZOTOWN.Thedatacontaintheground-truthabouttheperformance of several bandit policies and enable the fair comparisons of different OPE estimators.
Effects of Visual Cues of Wind on Perception of Wind and Cycling Speed

Drawing from findings on visual dominance in the field of multimodal perception and the role of wind in everyday life, effects of visual cues of wind in multimodal scene perception and its reflection in behaviour are examined. This study evaluates perception of incongruent multimodal cues of wind and its reflection in cycling speed. In a within subject experiment, 33 subjects were exposed to two wind conditions during a one kilometer long cycling trip in a virtual environment. Wind was represented by visual and haptic cues, while the haptic stimulus was static. First, a weak environmental wind was visualized that halfway transformed into a strong wind condition (this order was counterbalanced). Wheel rotation duration over time, subjects’ experience of the trip and immersive tendencies were measured. No effects of changing visual cues of wind on wheel rotation duration were found. Mean wheel rotation duration decreased between the first and second condition for almost all subjects: those starting in the weak wind as well those in the strong wind condition. The most important finding is that subjects were aware of the incongruency of haptic and visual cues but still felt affected by both. They self-reported they increased cycling speed because wind force increased, which suggests a relation exists between exposure to visual cues of wind, and cycling behaviour in such a way that people tend to increase their cycling effort when wind seems to become stronger. Further research is needed to determine whether this possible relation exists in behaviour, rather than in perception of behaviour. We review the methodology and propose possible adaptations of the research design for future studies.
Scale-4 Analysis of Pressurized Water Reactor Critical Configurations: Volume 1-Summary

The requirements of ANSI/ANS 8.1 specify that calculational methods for away-from-reactor criticality safety analyses be validated against experimental measurements. If credit is to be taken for the reduced reactivity of burned or spent fuel relative to its original ''fresh'' composition, it is necessary to benchmark computational methods used in determining such reactivity worth against spent fuel reactivity measurements. This report summarizes a portion of the ongoing effort to benchmark away-from-reactor criticality analysis methods using critical configurations from commercial pressurized- water reactors (PWR). The analysis methodology utilized for all calculations in this report is based on the modules and data associated with the SCALE-4 code system. Isotopic densities for spent fuel assemblies in the core were calculated using the SAS2H analytical sequence in SCALE-4. The sources of data and the procedures for deriving SAS2H input parameters are described in detail. The SNIKR code sequence was used to extract the necessary isotopic densities from SAS2H results and to provide the data in the format required for SCALE-4 criticality analysis modules. The CSASN analytical sequence in SCALE-4 was used to perform resonance processing of cross sections. The KENO V.a module of SCALE-4 was used to calculate the effective multiplication factor (k{sub eff}) formore » the critical configuration. The SCALE-4 27-group burnup library containing ENDF/B-IV (actinides) and ENDF/B-V (fission products) data was used for analysis of each critical configuration. Each of the five volumes comprising this report provides an overview of the methodology applied. Subsequent volumes also describe in detail the approach taken in performing criticality calculations for these PWR configurations: Volume 2 describes criticality calculations for the Tennessee Valley Authority's Sequoyah Unit 2 reactor for Cycle 3; Volume 3 documents the analysis of Virginia Power's Surry Unit 1 reactor for the Cycle 2 core; Volume 4 documents the calculations performed based on GPU Nuclear Corporation's Three Mile Island Unit 1 Cycle 5 core; and, lastly, Volume 5 describes the analysis of Virginia Power's North Anna Unit 1 Cycle 5 core. Each of the reactor-specific volumes provides the details of calculations performed to determine the effective multiplication factor for each reactor core for one or more critical configurations using the SCALE-4 system; these results are summarized in this volume. Differences between the core designs and their possible impact on the criticality calculations are also discussed. Finally, results are presented for additional analyses performed to verify that solutions were sufficiently converged. All calculations show the ability to predict a k{sub eff} value very close to 1.0 for various conditions and cooling times. Thus, the methodology applied is shown to be a valid approach for calculating the value of k{sub eff} for systems with spent PWR fuel. « less
The role of impeller outflow conditions on the performance and stability of airfoil vaned radial diffusers

This thesis quantifies the relative importance of the impeller outflow angle, Mach number, non-uniformity and unsteadiness on diffuser performance, through diffuser experiments in a compressor stage and in a swirling flow test rig combined with steady and unsteady Reynolds-Averaged Navier Stokes computations. The test article is a pressure ratio 5 tur-bocharger compressor with an airfoil vaned diffuser. The swirling flow rig is able to generate rotor outflow conditions representative of the compressor except for the periodic pitchwise unsteadiness, and ts a 0.86 scale diffuser and volute. In both rigs, the time-mean impeller outflow is mapped across a diffuser pitch using miniaturized traversing probes developed for the purpose. Diffuser performance is well correlated to the average impeller outflow angle when the metric used is effectiveness, which describes the pressure recovery obtained relative to the maximum possible given the average inflow angle, Mach number and the vane exit metal angle. This is reflective of the strong mixing processes that occur in the diffuser inlet region. Utilizing effectiveness captures density changes through the diffuser at higher Mach numbers; a 10% increase in pressure recovery is observed as the inlet Mach number is increased from 0.5 to 1. Further, effectiveness is shown to be largely independent of the unsteady pitchwise non-uniformity from the rotor. The observed exception is for operating points with high time-averaged vane incidence. Here, it is hypothesized that excursions into high-loss flow regimes cause a non-linear increase in loss as large unsteady angle variations pass by from the rotor. Given that straight-channel diffuser design charts typically used in preliminary radial vaned diffuser design capture neither streamtube area changes from impeller exit to the diffuser throat nor vane incidence effects, their utility is limited. An alternative approach, utilizing effectiveness and vane leading edge incidence, is proposed. Finally, strong pressure fluctuations downstream of the diffuser vane leading edge, but not upstream, are strongly suggestive of a leading edge vortex previously proposed as the mechanism for short-wavelength stall inception. A preferential location for the stall onset is observed due to the circumferential pressure non-uniformity imposed by the volute.