Miracle-dz/UniFAR-FTUs huggingface dataset:
Cultivating communities of practice for innovation: What about SMEs?

Knowledge is a key factor for competitiveness and innovation for many small and medium-sized enterprises (SMEs) (Handzic, 2006). However, SMEs often lack absorptive capacity because they have no formal strategy for developing, capturing, disseminating, sharing, or applying knowledge (Beijerse, 2000). It has been suggested (Wenger, 1998; Lesser and Prusak, 1999; Allee, 2000) that communities of practice (CoPs) might be an effective way to capture and share tacit knowledge as well as leverage the social capital (Lesser and Prusak, 1999) necessary for innovation (Landry, et al 2002). There is also some indication that knowledge spillovers within CoPs can strengthen their ability to exploit their innovations (Autio, et al 2008). On the other hand, SMEs often struggle to participate in open innovation, because of knowledge transfer problems caused by organisational and cultural differences (Van de Vrande, et al 2009). Given that CoPs are becoming more commonly seen as a knowledge management (KM) tool for supporting innovation (Swan, et al 2002), this paper reviews the literature on CoPs and comments on their appropriateness in the context of SMEs.
Large-scale Agent-based Simulation in Archaeology : an Approach using High-performance Computing

Agent-Based Modelling is one of the techniques with more potential to develop useful simulations for archaeological research. On the other hand, existing ABM tools are not well suited to manage the high computational cost that some of the approaches taken by researchers can demand. This paper discusses possible pitfalls of the use of ABM in Archaeology, as well as a new platform developed to deal with them through the use of High-performance computing.
Analysis of Wellbore Drilling Hydraulics Applying a Transient Godunov Scheme Considering Variations of Injected Flow Rates

A new application of the Godunov scheme to describe dynamic oil-well behavior is presented. The numerical model is able to capture discontinuities associated with surface flow-rate variations. The finite volume method and Riemann problems are utilized for building the unsteady discrete solution. Initial and boundary conditions are related to cases of static, steady and transient well condition. Well data used in simulation are taken from true operational conditions and well mechanical configuration. The results of Godunov’s modeling describe the behavior of transient pressure and transient flow rate inside drill pipe and annulus. These profiles are commonly caused by turning on, adjusting mud flow rate and turning off the rig pumps. The evaluated rig indicators are: back pressure, pumping pressure, bottomhole pressure and injected flow rate. Calculated transient profiles are physically consistent and in good agreement with published well data. Therefore, engineering contribution is the application of first-order Godunov method to evaluate the transient hydraulics whereas variations of mud flow rate; also, the analysis and interpretation of the dynamic pressure behavior travelling inside the well. The Godunov scheme has robust engineering applications for modeling the transient drilling hydraulics, e.g., managed pressure drilling, hydraulics of pipe connections, and foam cementing, as well.
Aerial remote sensing hyperspectral techniques for rocky outcrops mapping

In this work the MIVIS (Multispectral Infrared and Visible Imaging Spectrometer) hyperspectral data, acquired during aerial campaigns made in 1998 over the Pollino National Park in the framework of the «Progetto Pollino», have been used to set up a supervised technique devoted to identify the presence of selected rocky outcrops. Tests have been performed over an extended area characterised by a complex orography. Within this area, serpentinite was chosen as a test-rock because it is present in isolated outcrops, distributed all over the test-area, besides subtending important problems of environmental nature as it contains asbestos. Geological information, coming from field observations or geological maps, was used to trigger the algorithms and as ground truth for its validation. Two spectral analysis techniques, SAM (Spectral Angle Mapper) and LSU (Linear Spectral Unmixing), have been applied and their results n combined to automatically identify serpentinite outcrops and, in some cases, to mark its boundaries. The approach used in this work is characterised by simplicity (no atmosphere and illumination corrections were performed on MIVIS data), robustness (material of interest is identified for certainty) and intrinsic exportability (the method proposed can be applied on different geographic areas and, in theory, to identify any kind of material because no datum about atmospheric and illumination conditions is required).
Global multi-scale segmentation of continental and coastal waters from the watersheds to the continental margins

Abstract. Past characterizations of the land–ocean continuum were constructed either from a continental perspective through an analysis of watershed river basin properties (COSCATs: COastal Segmentation and related CATchments) or from an oceanic perspective, through a regionalization of the proximal and distal continental margins (LMEs: large marine ecosystems). Here, we present a global-scale coastal segmentation, composed of three consistent levels, that includes the whole aquatic continuum with its riverine, estuarine and shelf sea components. Our work delineates comprehensive ensembles by harmonizing previous segmentations and typologies in order to retain the most important physical characteristics of both the land and shelf areas. The proposed multi-scale segmentation results in a distribution of global exorheic watersheds, estuaries and continental shelf seas among 45 major zones (MARCATS: MARgins and CATchments Segmentation) and 149 sub-units (COSCATs). Geographic and hydrologic parameters such as the surface area, volume and freshwater residence time are calculated for each coastal unit as well as different hypsometric profiles. Our analysis provides detailed insights into the distributions of coastal and continental shelf areas and how they connect with incoming riverine fluxes. The segmentation is also used to re-evaluate the global estuarine CO2 flux at the air–water interface combining global and regional average emission rates derived from local studies.
Spatial and Temporal Variability of Rainfall at Seasonal and Annual Time Scales at Tekeze River Basin, Ethiopia

Understanding climate variability using surface observed climatic parameters like rainfall at watershed spatial scale is a great input in decision making for practitioners in agriculture planning, water resources projects, rainfall-runoff modeling activities ,environmental impact assessment and civil works. This study examines the spatio-temporal variability of seasonal and annual rainfall totals over Tekeze river basin in Ethiopia. The indices were used over the basin based on data available from 28 meteorological stations having variable record length spanning from 1992-2009 for most of the stations. The data were subjected to main quality tests of outliers and homogeneity tests. Temporal variability was analyzed by coefficient of variability and spatial distribution and variability was investigated using ordinary kirging interpolation technique. The result showed: The annual and kiremt (June to September) season rainfall distribution are highest at the southwest part of the river basin and decrease to other directions. South and northeast part of the basin receive highest amount of Belg (February to May) season rainfall. The temporal variability of Belg rainfall is much higher than the kiremt rainfall. The spatial variability of annual and kiremt rainfall is higher than the spatial variability of Belg rainfall. Keywords : Seasonal Rainfall, Annual Rainfall, Temporal variability, spatial variability
Enhanced Detection Of Double Adjacent Errors In Hamming Codes Through Selective Bit Placement

Abstract— This paper explain the Enhanced detection of Double adjacent Errors in Hamming codes. In 1950’s Richard Hamming invented the Hamming code. Designed to correct single bit errors. Hamming Codes are used in computing, telecommunication, and other applications. Codes are simple to construct for any word length. It can be easy to Encode and decode.2D Hamming Product Code is used to detect and correct errors. But, this fails to detect adjacent errors. Detecting double adjacent errors using Selective Bit Placement Algorithm. In this paper the algorithm for hamming code is discussed and then implementation of it in verilog is done to get the result. Here code is implemented in verilog in which 4 bit of information data is transmitted. Delay, area and power analyses were carried out using Xilinx ISE-13.2. The results obtained are presented and compared. The enhanced detection is achieved by selective bit placement strategy.
Forecasting for Event Venues : Big Data and Prediction ccuracy

Advances in sensor technologies and the proliferation of smart meters have resulted in an explosion of energy-related data sets. These Big Data have created opportunities for development of new energy services and a promise of better energy management and conservation. Sensor-based energy forecasting has been researched in the context of office buildings, schools, and residential buildings. This paper investigates sensor-based forecasting in the context of event-organizing venues, which present an especially difficult scenario due to large variations in consumption caused by the hosted events. Moreover, the significance of the data set size, specifically the impact of temporal granularity, on energy prediction accuracy is explored. Two machine-learning approaches, neural networks (NN) and support vector regression (SVR), were considered together with three data granularities: daily, hourly, and 15 minutes. The approach has been applied to a large entertainment venue located in Ontario, Canada. Daily data ensor-based forecasting achine learning intervals resulted in higher consumption prediction accuracy than hourly or 15-min readings, which can be explained by the inability of the hourly and 15-min models to capture random variations. With daily data, the NN model achieved better accuracy than the SVR; however, with hourly and 15-min data, there was no definitive dominance of one approach over another. Accuracy of daily peak demand prediction was significantly higher than accuracy of consumption prediction. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND
Excess Parameter Studies on Tetrahydropyran with 1-Hexanol at T = 298.15 to 318.15 K Using Anton Paar

Sound velocity, densities of binary mixture of Tetrahydropyran (THP) with 1-hexanol has been measured over the entire range of composition at T = 298.15 to 318.15 K. The excess parameters viz., excess sound velocity, deviations in isentropic compressibility, excess molar volume, excess free length and excess acoustic impedance are deduced from experimental values and discussed intermolecular interactions present in the mixture. At the end all the parameters have been fitted to Redlich-Kister equation and their coefficients are obtained.
Audiological function in a group of very low birth weight neonates in a tertiary hospital in Johannesburg, Gauteng.

X SECTION I: PROLOGUE I CHAPTER 1: INTRODUCTION 1 SECTION II: 7 THEORETICAL FRAMEWORK 7 CHAPTER 2: LITERATURE REVIEW 8 SECTION III: 20 EMPIRCAL RESEARCH 20 CHAPTER 3: METHODOLOGY 21 SECTION IV: 30 PRESENTATION, ANALYSIS & DISCUSSION OF FINDINGS 30 CHAPTER 4: RESULTS 31 CHAPTER 5: DISCUSSION 44 SECTION V: EPILOGUE 55 CHAPTER 6: CONCLUSION AND RECOMMENDATIONS 56 REFERENCE LIST 65
It's Only Temporary: Time Frame and the Dynamics of Creative Project Teams

The success of many knowledge-intensive industries depends on creative projects that lie at the heart of their logic of production. The temporality of such projects, however, is an issue that is insufficiently understood. To address this, we study the perceived time frame of teams that work on creative projects and its effects on project dynamics. An experiment with 267 managers assigned to creative project teams with varying time frames demonstrates that compared to creative project teams with a relatively longer time frame, project teams with a shorter time frame focus more on the immediate present, are less immersed in their task, and utilize a more heuristic mode of information processing. Furthermore, we find that time frame moderates the negative effect of team conflict on team cohesion. These results are consistent with our theory that the temporary nature of creative projects shapes different time frames among project participants, and that it is this time frame that is an important predictor of task and team processes.
Americas Conference on Information Systems ( AMCIS ) December 2002 INNOVATIVE SOFTWARE USE AFTER MANDATORY ADOPTION

This research seeks to identify factors that influence high school students software usage. Students in our study have been observed to vary with respect to their use of a specific software application, Geometers Sketchpad®. The use of Geometers Sketchpad® is mandatory in Geometry class. However, some students have voluntarily expanded their use of the tool to other classes (for example, Biology class) and to non-school related activities (for example, landscape design). The original Technology Acceptance Model (TAM) model proposed by Davis (1986, 1989) and the numerous extensions of TAM (Hartwick and Barki, 1994; Karahanna and Straub, 1999; Venkatesh and Davis, 2000) have been used to model computer and software adoption and acceptance. Most of the research in this area examines computer acceptance in voluntary settings, although a few studies have looked at acceptance in mandatory settings (Rawstorne, et al., 1998, 2000). Our research will investigate if the TAM2 model can be adapted to explain (and later to predict) innovative use of a software application by high school students when the initial use of the application is mandatory. We define innovative use as voluntarily expanding the use of a software application to new tasks and new settings after mandatory adoption for a specific task in a specific setting.
A Novel Oligonucleotide Pair for Genotyping Members of the Pseudomonas Genus by Single-Round PCR Amplification of the gyrB Gene

Pseudomonas is a phylogenetically diverse bacterial genus which is broadly distributed in different ecological niches, and whose taxonomy is continuously under revision. For that purpose, gyrB is one of the housekeeping genes routinely used for multilocus sequence analysis (MLSA). As we noticed that there was not a single primer pair available in the literature suitable for direct sequencing of this gene, we decided to design a unique oligonucleotide pair and to set up a polymerase chain reaction (PCR) protocol to obtain a single amplicon for the entire Pseudomonas genus. Based on the available gyrB sequence from 148 Pseudomonas species, we identified highly conserved regions to design oligonucleotides without fully degenerate positions. We then set up cycling conditions for achieving high specificity and yield of the PCR protocol. Then, we showed that the amplicons produced with this procedure were appropriate for direct sequencing with both primers, obtaining more than 95% of amplicons coverage. Finally, we demonstrated that a PCR-RFLP (restriction fragment length polymorphism) approach served to differentiate among Pseudomonas species, and even between members of the same species.
Airborne measurements of dust layer properties, particle size distribution and mixing state of Saharan dust during SAMUM 2006

The Saharan Mineral Dust Experiment (SAMUM) was conducted in May/June 2006 in southern Morocco. As part of SAMUM, airborne in situ measurements of the particle size distribution in the diameter range 4 nm < Dp < 100 μm were conducted. The aerosol mixing state was determined below Dp < 2.5 μm. Furthermore, the vertical structure of the dust layers was investigated with a nadir-looking high spectral resolution lidar (HSRL). The desert dust aerosol exhibited two size regimes of different mixing states: below 0.5 μm, the particles had a non-volatile core and a volatile coating; larger particles above 0.5 μm consisted of non-volatile components and contained light absorbing material. In all cases, particles larger than 10 μm were present, and in 80% of the measurements no particles larger than 40 μm were present. The abundance of large particles showed almost no height dependence. The effective diameter Deff in the dust plumes investigated showed two main ranges: the first range of Deff peaked around 5 μm and the second range of Deff around 8 μm. The two ranges of Deff suggest that it may be inadequate to use one average effective diameter or one parametrization for a typical dust size distribution.
Spatial spline regression models

We describe a model for the analysis of data distributed over irregularly shaped spatial domains with complex boundaries, strong concavities and interior holes. Adopting an approach that is typical of functional data analysis, we propose a spatial spline regression model that is computationally efficient, allows for spatially distributed covariate information and can impose various conditions over the boundaries of the domain. Accurate surface estimation is achieved by the use of piecewise linear and quadratic finite elements.
Dialogue and transformation: embracing sexual diversity in the educational context

Embora as recentes politicas de educacao no Brasil tenham incluido a sexualidade como tema importante a ser discutido nas salas de aula, elas ainda nao efetivamente criaram um contexto educacional onde a sexualidade possa ser discutida de forma positiva, nao-discriminatoria e sensivel as cultura e historia do contexto. Este artigo tem como objetivo contribuir com o desenvolvimento de programas de treinamento para educadores em sexualidade, especificamente para aqueles preocupados com a inclusao de expressoes sexuais nao-normativas no contexto educacional. A partir de ideias construcionistas-sociais nos delineamos um modelo de treinamento para educadores em sexualidade no qual o envolvimento relacional e o foco no processo criam o contexto para uma educacao transformadora. Primeiramente, apresentamos uma breve revisao da educacao sexual no Brasil e posteriormente apresentamos os conceitos de comunidades de inteligibilidades e dialogo. Esses dois conceitos nos permitem discutir como os valores sao gerados e como eles participam daquilo que tomamos como sendo bom e real. Por fim, inspirados por um de nossos programas de treinamento, nos ilustramos o modelo oferecendo possibilidades de traducao de principios teoricos em atividades de treinamento.
Using electrochemical impedance spectroscopy of salicylate anion selective electrode: simulation for behavior of electrode

In this paper, the behavior of the salicylate anion-selective electrode was studied using the electrochemical impedance spectroscopy technique. Considering the diagram of the charge transfer resistance and -logarithm of the double layer capacitance versus -logarithm of the concentration, linear range concentration increased to 1.0×10 -8 -1.0×10 -1 M and 1.0×10 -9 1.0×10 -1 M, respectively. Among the other characteristics of this study, it can be pointed out a wide pH range of 4.0-10.0. Then "one-impedance for one-concentration" method was used to measure the salicylate ion at the linear range of 1.0×10 -8 -1.0×10 -1 M. Finally, the impedance spectra of this electrode were simulated in which the obtained results of this simulation indicate proximity of experimental and simulation data.
Does Depth and Sedimentation Interact with Sea Urchins to Affect Algal Assemblage Patterns on Eastern Atlantic Reefs?

ABSTRACT A range of factors may affect the composition and abundance of macroalgae on subtidal rocky reefs. We experimentally determined the interactive effect of the occurrence of the long-spine sea urchin, Diadema antillarum, depth and sedimentation levels on macroalgal assemblage structure on eastern Atlantic rocky reefs. Specifically, we manipulated sea urchin densities (removal of all individuals vs. untouched controls at natural densities) on rocky reefs devoid of erect vegetation, and predicted (1) that removal of sea urchins would differently affect macroalgal assemblage structure between deep (16–18 m) and shallow (8–9 m) reef strata, and that (2) the effect of sea urchin removal on macroalgae would be altered under different scenarios of sedimentation (ambient vs. enhanced). Experimental circular plots (2 m in diameter) were set up at 3 locations at Gran Canaria (Canarian Archipelago), and were maintained and monitored every 4 wk for 1 y. At the end of the experimental period, the structure of the algal assemblages differed between urchin treatments and depth strata, with a larger cover of turf and bushlike algae where urchins were removed and at the shallow reef stratum. More important, differences in algal assemblage structure between urchin treatments were irrespective of sedimentation levels, but shifted from the shallow to the deep stratum. This interactive effect was, in turn, observed for bushlike algae, as a result of a larger magnitude of response (i.e., larger cover) in the shallow stratum relative to the deep stratum, but was not detected for either turf or crustose coralline algae. These results highlight the importance of some physical conditions (here, differences in depth) to interact with biotic processes (here, urchin abundance) to create patterns in the organization of subtidal and benthic assemblages.
Detection of Recent Changes in Climate Using Meteorological Data from South-eastern Bangladesh

Analysis of meteorological records from four stations (Chittagong, Cox’s Bazar, Rangamati, Sitakunda) in south-eastern Bangladesh show coherent changes in climate over the past three decades. Mean maximum daily temperatures have increased between 1980 and 2013 by ca. 0.4 to 0.6°C per decade, with changes of comparable magnitude in individual seasons. The increase in mean maximum daily temperature is associated with decreased cloud cover and wind speed, particularly in the pre- and post-monsoon seasons. During these two seasons, the correlation between changes in maximum temperature and clouds is between -0.5 and -0.7; the correlation with wind speed is weaker although similar values are obtained in some seasons. Changes in mean daily minimum (and hence mean) temperature differ between the northern and southern part of the basin: northern stations show a decrease in mean daily minimum temperature during the post-monsoon season of between 0.2 and 0.5°C per decade while southern stations show an increase of ca. 0.1 to 0.4°C per decade during the pre-monsoon and monsoon seasons. In contrast to the significant changes in temperature, there is no trend in mean or total precipitation at any station. However, there is a significant increase in the number of rain days at the northern sites during the monsoon season, with an increase per decade of 3 days in Sitakunda and 7 days at Rangamati. These climate changes could have a significant impact on the hydrology of the Halda Basin, which supplies water to Chittagong and is the major pisciculture centre in Bangladesh.