Miracle-dz/UniFAR-FTUs huggingface dataset:
How to Develop Innovation KPIs in an Execution-Oriented Company

When they grow and become more established, companies tend to lose their innovation capabilities while focusing on the execution of everyday routines. In this article, we refer to such companies as execution-oriented, where “execution” refers mainly to short-term actions as opposed to long-term, systemic, and strategic thinking” (Lakiza, 2018). Such a company is risk averse and focuses on delivering tangible outputs without ensuring that the resources spent are contributing to the company’s high-level objectives. This approach is not compatible with strong innovation capabilities, which are defined by Olsson and colleagues (2010) as the “ability to continuously develop innovations as a response to a changing environment”.
Predicting Passenger's Behavior by Using Association Rules in Data Mining

Data mining is considered as one of the most powerful and contemporary tools in extracting massive and valuable data and information from several standard database formats that all different kinds of public and private organizations use in their daily operations and processes. In this thesis, the data type used is only one of millions of other possibilities and examples around the world where data is a real need for enhanced business operations and improved service offerings. This dissertation offers a holistic proposal for utilizing data mining tools and technologies with the objective of collecting big volume of personal and demographic information about anonymous everyday public transport users. This will contribute well to the vision and strategy of one of Gulf Cites. Furthermore, it will assist the Road and Transport Authority in enhancing the levels of its service reliability and dependability while improving its security and safety measures and surveillance systems which offer priceless benefit to local community, its stability and prosperity. Dealing with this huge volume of transactions could be very challenging. Chapter: Data Preparation in this thesis explains in a lot of details how data can be gathered all the way to the phases where data is organized, processed, reported and accessed. The data pre-processing phase touches on several topics such as handling the missing data, duplicating and writing some backend procedures in order to modify the logic of current graphical data and move it to different table structure to be more fit for purpose. As per the research conducted in this theses, it has proved to be very challenging to find any similar studies in the whole Middle East and Africa that look into and analyses the behaviors of public transport passengers using a data mining technology. This makes this thesis more unique and hopefully many other specialized studies and researches in the region will follow and contribute to what is fast becoming a compelling need in our today’s business management and operations in the whole world.
Behavioral and academic effects of Skillstreaming the Adolescent for at-risk middle school students

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The Role of Empathy in Preparing Teachers to Tackle Bullying

Much research on bullying behaviour in schools among students has been carried out since the 1970’s, when Olweus started a large-scale project in Norway which is now generally regarded as the first scientific study on bullying. Yet, there has been little research on how teachers respond to reports of bullying and tackle bullying behaviour in post-primary schools. This paper reports on a preliminary study investigating teacher empathy levels and their preparedness for tackling bullying in a post-primary school in Ireland. There were two research questions central to this research. The first looked at how empathic are teachers in this school? The second examined to what extent it prepares them for tackling bullying? In answering these questions we relied on the Interpersonal Reactivity Index (IRI) to gather data on empathy levels among teachers (n=10), with findings related to existing research in the field. The results showed that teacher empathy is an important factor in creating and maintaining a positive school climate, which in turn leads to a prevention of bullying situations.
ASAS - INVESTIGATIONS INTO AIRBORNE SEPARATION ASSURANCE IN A DISTRIBUTED SIMULATION ENVIRONMENT

With the introduction of Free Flight in dedicated airspace, investigations into collaborative as well as airborne conflict detection and resolution gain increasing importance. For airborne conflict detection and resolution, intended flight paths of surrounding aircraft shall not only be computed through extrapolation of the present aircraft position but shall additionally include current FMS flightplan data from intruding aircraft. Consequently, concerning threat detection and resolution, a specially designed Collision Risk Model was developed, identifying threats with regard to individual navigation performance of the conflicting aircraft. According to ICAO’s RNP concept, threats are consequently defined through preset minimum level of safety adjusted dynamically to current aircraft and environment parameters. The objective of this project is to demonstrate that well adapted resolution advisory algorithms, appropriately displayed on EFIS displays according to a Human Centered Automation Approach, can lead in the light of concepts like EATMS etc. to equally safe but more economic air traffic procedures. In this context, a distributed simulation environment with high en-route traffic scenarios has been set up. At the Scientific Research Facility as part of the A330/A340 Full Flight Simulator, the Generic Flight Management System and its Human Machine Interface were modified in order to allow the processing and presentation of the newly developed functions and procedures.
Effect of dietary supplementation with selenium-enriched yeast or sodium selenite on ruminal enzyme activities and blood chemistry in sheep.

The experiment was conducted to evaluate the effect of feeding a diet supplemented with different forms of selenium on the rumen fluid, blood and serum enzyme activity and osmotic fragility of red blood cells in sheep. The experiment was carried out on 18 sheep of the Valashka breed at the age of 18 months, divided into 3 groups. The first group was given basal diet (BD) with a Se content of 0.17 mg/kg of dry matter (DM). The second group received BD supplemented with 0.4 mg Se/kg of (DM) in the form of sodium selenite. The third group received BD supplemented with 0.4 mg Se/kg of (DM) in the form of Se-yeast extract. Duration of the trial was 12 weeks. Selenium concentration in blood and total rumen fluid were elevated in both supplemented groups with the highest values in Se-yeast-treated sheep. Blood glutathione peroxidase (GPx) activity was significantly increased, regardless of the source of selenium. Osmotic resistance of red blood cells was not affected by selenium supplementation. The results indicate that feeding a diet supplemented with selenium from Se-yeast or selenite improved selenium status in blood and total rumen fluid. Selenium from sodium selenite was as effective as selenium from Se-yeast in the availability of selenium for the blood GPx activity. The effect of selenium supplementation on the ruminal enzyme activity depends on the selenium form; GGT and GDH were significantly higher in the Se-yeast supplement group, AST and ALP were significantly higher in the selenite supplement group.
Fluid-StructureInteractionSimulationOfTheMitralValveInANormal LeftVentricleDuringDiastolicPhase

In this paper, the blood flow inside a normal (healthy) left ventricle was investigated, using loosely coupled fluid-structure interaction (FSI) algorithm during diastole. The model consists of the mitral valve (MV) and cavity of the left ventricle (LV) as illustrated in figure 1. Parametric geometries of the left ventricle and mitral valve were developed using MR images and pathological data. To apply pressure boundary condition to the aorta, we simulated the systematic arterial tree by characterizing the Windkessel model [1]. The Alexander model [2] was used to apply the left atrial flow to the mitral valve. The simulation started at the beginning of the systole by moving the left ventricular wall inward to push the blood flow out of the LV toward aorta. The displacement of the wall was transfered to the fluid mesh and the Navier-Stoks equations were solved using finite volume with SIMPLE-C method. We applied the calculated pressure to the surfaces of MV leaflets and the structural model of the MV tissue [3] was solved using finite element method. At the end of the cycle, we transfered the calculated deformations of the leaflets to the fluid mesh. For the next time step, the left ventricular wall was moved further and the same procedure was repeated until the end of systole. In the diastolic phase the aorta was closed and the transmitral flow was applied to the MV orifice. Also the left ventricular wall was moved backward at each time step and the same FSI cycle was used to calculate the blood flow and MV deformation in diastole. We characterized the creation of the vortex ring by the pulse jet which was produced in the early diastole. At the beginning of the diastole a vortex ring is separated from the boundary layer at the tip of the leaflets. Our study shows that no more energy contributes in the vortex ring if we increase the formation time (which describes the formation of the vortex ring) higher than 4.3 and after this point, the flow contributes in the trailing jet. We also studied the effect of the motion of the leaflets on the formation of the vortex ring and finally, we compared our results with the experimental works in which similar phenomenon was studied [4 and 5]. Figure 1: The computational model includes the mitral valve and cavity of the left ventricle
Is China’s equity market a systematic risk for international asset pricing models?

The world market portfolio or the US market portfolio is regarded as a systematic risk factor in international asset pricing models given the integrated international financial markets. In light of the rapid growth of China’s economy and financial markets, this paper examines if China’s equity market is becoming an important systematic risk for international asset pricing models for the developed countries and the Asian emerging economies. The findings indicate that, from the perspective of international investors, China’s equity market has become an important pricing factor only in the short term, but not in the long term. Asian markets are much more influenced by China’s market than G7 countries. The results have rich implications for asset pricing and international portfolio management.
A Markov Chain Monte Carlo Multiple Imputation Procedure for Dealing with Item Nonresponse in the German SAVE Survey

Important empirical information on household behavior is obtained from surveys. However, various interdependent factors that can only be controlled to a limited extent lead to unit and item nonresponse, and missing data on certain items is a frequent source of difficulties in statistical practice. This paper presents the theoretical underpinnings of a Markov Chain Monte Carlo multiple imputation procedure and applies this procedure to a socio-economic survey of German households, the SAVE survey. I discuss convergence properties and results of the iterative multiple imputation method and I compare them briefly with other imputation approaches. Concerning missing data in the SAVE survey, the results suggest that item nonresponse is not occurring randomly but is related to the included covariates. The analysis further indicates that there might be differences in the character of nonresponse across asset types. Concerning the methodology of imputation, the paper underlines that it would be of particular interest to apply different imputation methods to the same dataset and to compare the findings.
Tricholosporum, a newly recorded genus of Agaricomycetes in China

One species of Tricholosporum was collected from HunHeyuan Nature Reserve in Liaoning Province, northeast China. It is a newly recorded genus to China. Descriptions, illustrations of T. porphyrophyllum , a new record from China, are given based on collected specimens, while the phylogenetic analysis based on ITS, nlsu rDNA and rpb2 sequences were studied to determine the taxonomic status of this genus and discussed the relationship between this genus and other genera of Tricholomataceae.
Male advantage in geometry learning? A preliminary study in rats

Resumen Rats were successively trained in three unusual watermazes to find a hidden platform that always maintained a constant relationship with a distinctive corner of the apparatus (i.e., a triangular-shaped pool in Experiment 1, a rectangular-shaped pool in Experiment 2, and a kiteshaped pool in Experiment 3). After each training phase a test trial was conducted, without the platform. On test, in Experiment 1 the amount of time the rat spent in two different areas, one in front of the correct corner and one in exactly an opposite and incorrect corner was recorded. The experiment replicated previous results: a clear male advantage on geometry learning (Rodríguez et al., 2010, 2011). Additional measures were also employed in Experiments 2 and 3 and, in both experiments, the different measures of spatial learning gave quite different results. The male advantage found in Experiment 1 did not seem to generalize well to other geometries. ¿Superioridad de los machos en el aprendizaje de la geometría? Un estudio preliminar con ratas: Se entrenó a ratas de forma sucesiva en tres inusuales laberintos acuáticos a encontrar una plataforma oculta que mantenía una relación constante con una esquina distintiva del aparato (i.e., piscina triangular, rectangular y con forma de cometa en los Experimentos 1-3, respectivamente). Tras cada fase de entrenamiento se llevó a cabo un ensayo de prueba, sin plataforma. En la prueba, en el Experimento 1 se registró el tiempo que pasaban las ratas en dos áreas diferentes, una frente a la esquina correcta y otra en la esquina opuesta e incorrecta. Este experimento replicó resultados anteriores: se encontró una clara superioridad de los machos en el aprendizaje de la geometría (Rodríguez y cols, 2010, 2011). En los Experimentos 2 y 3 se utilizaron medidas adicionales y, en ambos experimentos, las distintas medidas de aprendizaje espacial dieron resultados significativamente diferentes. La superioridad de los machos encontrada en el Experimento 1 no parece generalizarse bien a otras geometrías.
Study of the precision of a 3-D image registration technique using 3-D PET brain simulated images

In this work, we present a method for evaluation of multimodal 3-D image registration techniques using Monte-Carlo 3-D PET brain simulated images as well as images of external markers in discrete image space characterized by the voxel size. This approach will offer an accurate and inexpensive way to evaluate the precision of any registration approach, in particular the methods that rely on extrinsic fiducial markers. The results show that the precision of the registration method is within a pixel of the modality with the poorest resolution.
Vulnerability of Skinks to Predation by Introduced Mongoose in the Fiji Islands

Abstract: Skinks are successful colonizers and are commonly found throughout the Pacific islands, but introduced predators such as mongoose are known to threaten their survival. The two most abundant skinks found within the Fiji Islands are Emoia cyanura and E. impar. Abundance of these species encountered during visual transect counts on 16 islands within four habitats formed the basis of this study. Half of these islands had mongoose present, and the other half were known to be mongoose free. Our results showed that skink abundance under mongoose-free conditions was approximately five times higher than when mongoose were present. We conclude that it is very likely that mongoose severely supress even commonly found skink species across all the habitat types on these small islands, and it is likely that they impact even more severely on rarer species. Conservation actions that could protect these native species include biosecurity mechanisms to prevent secondary invasion of introduced predators, habitat protection and management, and captive rearing programs. Failure to implement such actions is likely to result in even common species being at risk of extirpation.
How the inclination of Earth's orbit affects incoming solar irradiance

The variability in solar irradiance, the main external energy source of the Earth's system, must be critically studied in order to place the effects of human‐driven climate change into perspective and allow plausible predictions of the evolution of climate. Accurate measurements of total solar irradiance (TSI) variability by instruments onboard space platforms during the last three solar cycles indicate changes of approximately 0.1% over the sunspot cycle. Physics‐based models also suggest variations of the same magnitude on centennial to millennia time‐scales. Additionally, long‐term changes in Earth's orbit modulate the solar irradiance reaching the top of the atmosphere. Variations of orbital inclination in relation to the Sun's equator could potentially impact incoming solar irradiance as a result of the anisotropy of the distribution of active regions. Due to a lack of quantitative estimates, this effect has never been assessed. Here, we show that although observers with different orbital inclinations experience various levels of irradiance, modulations in TSI are not sufficient to drive observed 100 kyr climate variations. Based on our model we find that, due to orbital inclination alone, the maximum change in the average TSI over timescales of kyrs is ∼0.003 Wm−2, much smaller than the ∼1.5 Wm−2 annually integrated change related to orbital eccentricity variations, or the 1–8 Wm−2variability due to solar magnetic activity. Here, we stress that out‐of‐ecliptic measurements are needed in order to constrain models for the long‐term evolution of TSI and its impact on climate.
Spatial distribution analysis of the OMI aerosol layer height: a pixel-by-pixel comparison to CALIOP observations

A global picture of atmospheric aerosol vertical distribution with a high temporal resolution is of key importance not only for climate, cloud formation and air quality research studies, but also for correcting aerosol radiation effect in absorbing trace gas retrievals from passive satellite sensors. Aerosol layer height (ALH) was retrieved from the OMI 477 nm O 2 −O 2 band and its spatial pattern evaluated over selected cloud-free scenes. Such retrievals benefit from a synergy with MODIS data to provide complementary information on aerosols and cloudy pixels. We used a neural network approach previously trained and developed. Comparison with CALIOP aerosol level 2 products over urban and industrial pollution in east China shows consistent spatial patterns with an uncertainty in the range of 462–648 m. In addition, we show the possibility to determine the height of thick aerosol layers released by intensive biomass burning events in South-America and Russia, and of a Saharan dust outbreak over sea from OMI visible measurements. Complementary detailed analyses show that the assumed aerosol properties in the modeling are the key factors affecting the accuracy of the results, together with potential cloud residuals in the observation pixels. Furthermore, we demonstrate that the physical meaning of the retrieved ALH scalar corresponds to the weighted average of the vertical aerosol extinction profile. These encouraging findings strongly suggest the potential of the OMI ALH product, and in more general the use of the 477 nm O 2 −O 2 band from present and future similar satellite sensors, for climate studies as well as for future aerosol correction in air quality trace gas retrievals.
The Influence On Factors In Attitudes Toward Acceptance Of The Information System Using Technology Acceptance Model (TAM) Case Study SPAN System In Indonesia

: Theoretically and practically Technology Acceptance Model (TAM) is a model that is considered most appropriate in explaining how the user receives a system. This study aimed to analyze the factors that influence the attitudes towards the acceptance of Sistem Perbendaharaan Anggaran Negara (SPAN) using TAM approach. The problems raised in this research, aims to determine the attitude of the use of the transition process lagecy system to the new system which for many users create conflict in the process of adaptation. On the basis of this proposed theoretical models to test hypotheses using Structural Equation Model (SEM) and analysis tool using lisrel. This research was conducted in all offices DG of Treasury of Ministry of Finance with 210 respondents were chosen at random to represent each office. The results of this study prove 4 hypothesis is accepted from 8 hypothesis, namely: a) a negative affect with the results demonstrabilty, b) computer self-efficacy with the output quality, c) computer self-efficacy with the perceived ease of use, d) perceived ease of use with the perceived of usefulness. Overall indicates that the application of the SPAN system in the Ministry of Finance of In Indonesia can be accepted by users.
Multidimensional prognostics for rotating machinery: A review

Determining prognosis for rotating machinery could potentially reduce maintenance costs and improve safety and availability. Complex rotating machines are usually equipped with multiple sensors, which enable the development of multidimensional prognostic models. By considering the possible synergy among different sensor signals, multivariate models may provide more accurate prognosis than those using single-source information. Consequently, numerous research papers focusing on the theoretical considerations and practical implementations of multivariate prognostic models have been published in the last decade. However, only a limited number of review papers have been written on the subject. This article focuses on multidimensional prognostic models that have been applied to predict the failures of rotating machinery with multiple sensors. The theory and basic functioning of these techniques, their relative merits and drawbacks and how these models have been used to predict the remnant life of a machine are discussed in detail. Furthermore, this article summarizes the rotating machines to which these models have been applied and discusses future research challenges. The authors also provide seven evaluation criteria that can be used to compare the reviewed techniques. By reviewing the models reported in the literature, this article provides a guide for researchers considering prognosis options for multi-sensor rotating equipment.