Miracle-dz/UniFAR-FTUs huggingface dataset:
Thinking big whilst making do: Mismatching expectations of a national human resource information system in healthcare

We adopted a qualitative case study research design and examined a major Information System (IS) innovation project that aimed to develop and implement Human Resource Information System (HRIS) across all health organizations within one European National Health Organization (NHO). Here we set out to contribute to institutional literature by exploring the processes through which institutional pressures shape the intention to adopt, adoption and implementation of an IS innovation within an organizations setting, particularly by examining such influences over time. We also draw on the concepts of the organizing vision and strategic responses, in order to understand how organizational actors interpret the nature and goals of the innovation and respond to the various institutional pressures associated with them. Adopted institutional lens allowed us to explain the unexpected difficulties that NHO encountered during the implementation of this IS innovation that seems to have been strongly supported at the outset. Our results indicate that at the comprehension stage, alignments between all three types of institutional pressures led to cohesive expectations concerning the core business problematic of the innovation and resulted in an initial acquiescence response. As the innovation progressed through adoption and implementation, misalignments between coercive, normative and mimetic pressures begin to manifest more strongly, exposing the inherent conflicting expectations that became part of the organizing vision about the technology itself, the organizational practices that would be changed and how these would be addressed by the innovation. We also found that as changes in institutional demands increase the tensions within the organizing vision, the variety in response strategies also increases reflecting greater uncertainty. Thus whilst previous research indicates a linear move from acquiescence to manipulation as environmental uncertainty increases (e.g. Oliver, 1991), our findings suggest an increase in the variety of responses during the implementation stage ranging from compromise to manipulation.
The Identification and Prioritization of the Gastronomic Tourism Development Strategies

The fabulous role of tourism industry in the growth of countries economy is undeniable. As a result, every country attempts to develop this industry in its territory. Undoubtedly, understanding of all the aspects of this industry and a thorough planning would greatly help the progress of each government. Due to the importance of breakdown of various types of tourism for all sectors, this study has considered the identification and prioritization of the gastronomic tourism development strategies. Iran is a historical country and every region has its unique style of cooking and its own history. Considering the potentiality of Iran in gastronomic tourism, we attempted to survey the expert attitudes on gastronomic tourism development strategies and rank them using the analytic hierarchy process (AHP). Unfortunately, gastronomic tourism has been disregarded, this study can provide good information for the planners and policy-makers.
Impact of Yeast Strain on the Production of Acetic Acid, Glycerol, and the Sensory Attributes of Icewine

High concentrations of volatile acids, consisting mainly of acetic acid, are often found in icewine. Wine yeasts produce acetic acid as a by-product of the hyperosmotic stress response caused by high sugar concentrations (>35 Brix) in grape must. Volatile acid levels in icewine often exceed legal limits. We compared seven commercially available wine yeast strains (ST, N96, Vin13, Vin7, EC1118, 71B, V1116) for icewine production. Yeast strains were evaluated for acetic acid and glycerol formation, fermentation rates, and sensory characteristics. Fermentations were conducted using both synthetic grape must and Riesling icewine grape must obtained from a commercial winery. Fermentations were conducted until approximately 11% (v/v) ethanol was produced. The yeast strains fermented Riesling icewine must at different rates and fermentations were completed in 17 to 49 days. Acetic acid and glycerol formation were significantly different ( p < 0.05) and linked to the yeast strain. Sensory analysis of the icewines produced with the different yeast strains showed significant differences for overall quality, perceived sulfur-like aroma, and color ( p < 0.05). ST, N96, and EC1118 were identified as the most suitable yeast strains for the production of icewine. Acknowledgments: We thank the scientists from PARC who acted as tasters and for use of their sensory analysis facilities and the Wine Research group for a critical discussion of the manuscript. This research was supported by a grant to HJJVV from the BC Wine Institute, AAFC, and NSERC (AAFPJ 240132-00).
Bioluminescent Bacterial Biosensors for the Assessment of Metal Toxicity and Bioavailability in Soils

A major factor governing the toxicity of heavy metals in soils is their bioavailability. Traditionally, sequential extraction procedures using different extractants followed by chemical analysis have been used for determining the biologically available fraction of metals in soils. Yet, the transfer of results obtained on non-biological systems to biological ones is certainly questionable. Therefore, bioluminescence-based bacterial biosensors have been developed using genetically engineered microorganisms, constructed by fusing transcriptionally active components of metal resistance mechanisms to lux genes from naturally bioluminescent bacteria like Vibrio fischeri for the assessment of metal toxicity and bioavailability in polluted soils. As compared to chemical methods, bacterial biosensors present certain advantages, such as selectivity, sensitivity, simplicity, and low cost. Despite certain inherent limitations, bacterial bioluminescent systems have proven their usefulness in soils under laboratory and field conditions. Finally, green fluorescent protein-based bacterial biosensors are also applicable for determining with high sensitivity the bioavailability of heavy metals in soil samples.
Microassay of drugs and modern measurement techniques

Details of the development of conventional analytical methods for the determination of drugs in pediatric plasma/serum samples via microassays are presented. Examples of the development of small‐volume sampling and the use of the newer detection systems such as LC/MS/MS for enhanced detection are presented. Dried blood spot sampling has conventionally been used for the study of inborn errors of metabolism using Guthrie cards. Limited applications in the area of drug‐level determination, for example, in therapeutic drug monitoring had been reported but the methodology had not been widely used up until relatively recently. In the last few years, there has been a resurgence of interest in this methodology for drug‐level determinations, and examples of drug analysis in pediatric and neonatal patients where the small‐volume samples are particularly useful are presented. The application of the methodology in pharmacokinetic/pharmacodynamic studies is discussed. The utilization of solid‐phase microextraction and stir bar sorptive extraction in drug analysis is presented. Clinical applications of these methodologies are reported including the development of in vivo solid‐phase microextraction.
3D Line Segments Extraction from Semi-dense SLAM

Despite the development of Simultaneous Localization and Mapping (SLAM), there lacks efficient methods for representing and processing their large scale point clouds. In this paper, we propose to simplify the point clouds generated by the semi-dense SLAM using three-dimensional (3D) line segments. Specifically, we present a novel approach for 3D line segments extraction. This approach reduces a 3D line segments fitting problem into two two-dimensional (2D) line segments fitting problems, which takes advantage of both image edge segments and depth maps. We first detect edge segments, which are one-pixel-width pixel chains, from keyframes. We then search 3D line segments of each keyframe along their detected edge pixel chains by minimizing the fitting error on both image plane and depth plane. By incrementally clustering the detected line segments, we show that the resulting 3D representation for the scene achieves a good balance between compactness and completeness.
Modeling urban expansion by using variable weights logistic cellular automata: a case study of Nanjing, China

ABSTRACT Simulation models based on cellular automata (CA) are widely used for understanding and simulating complex urban expansion process. Among these models, logistic CA (LCA) is commonly adopted. However, the performance of LCA models is often limited because the fixed coefficients obtained from binary logistic regression do not reflect the spatiotemporal heterogeneity of transition rules. Therefore, we propose a variable weights LCA (VW-LCA) model with dynamic transition rules. The regression coefficients in this VW-LCA model are based on VW by incorporating a genetic algorithm in a conventional LCA. The VW-LCA model and the conventional LCA model were both used to simulate urban expansion in Nanjing, China. The models were calibrated with data for the period 2000–2007 and validated for the period 2007–2013. The results showed that the VW-LCA model performed better than the LCA model in terms of both visual inspection and key indicators. For example, kappa, accuracy of urban land and figure of merit for the simulation results of 2013 increased by 3.26%, 2.96% and 4.44%, respectively. The VW-LCA model performs relatively better compared with other improved LCA models that are suggested in literature.
A whitener for a complex signal using a complex Toeplitz+Hankel solver

We derive a solution to a complex Toeplitz+Hankel system of equations which arises in whitening a complex signal. Part of the development is similar to a method developed by Merchant and Parks; the key step is to transform the system into a block-Toeplitz system with 4/spl times/4 blocks. An interesting and nonobvious symmetry is then used to reduce the computational complexity roughly by a factor of two.
Measurement of the Proportion of D2 Receptors Configured in State of High Affinity for Agonists in Vivo: A Positron Emission Tomography Study Using [11C]N-Propyl-norapomorphine and [11C]Raclopride in Baboons

Dopamine D2 receptors are configured in interconvertible states of high (D2 high) or low (D2 low) affinity for agonists. The in vivo proportion of sites in high-affinity state remains poorly documented. Previous studies have established the D2 agonist [11C]N-propyl-norapomorphine (NPA) as a suitable positron emission tomography radiotracer for imaging D2 high in the living brain. To elucidate the proportion of D2 receptors configured in D2 high states in vivo, imaging studies were conducted in three baboons with both [11C]NPA and the D2 receptor antagonist [11C]raclopride. These studies were performed under noncarrier- and carrier-added conditions, to compare the Bmax of [11C]NPA and [11C]raclopride in the same animals. [11C]raclopride in vivo KD and Bmax were 1.59 ± 0.28 nM (n = 3) and 27.3 ± 3.9 nM (n = 3), respectively. The in vivo KD of [11C]NPA was 0.16 ± 0.01 nM (n = 3), consistent with its affinity for D2 high reported in vitro. The maximal density of sites for [11C]NPA was 21.6 ± 2.8 nM (n = 3), i.e., 79% of the [11C]raclopride Bmax. This result suggested that 79% of D2 receptors are configured as D2 high in vivo. This large proportion of D2 high sites might explain the vulnerability of D2 radiotracers to competition by endogenous dopamine, and is consistent with a previous report that the in vivo binding of agonist radiotracer [11C]NPA is more vulnerable to competition by endogenous dopamine than that of antagonist radiotracer [11C]raclopride.
SIM-ENG: a traffic simulation engine

The need for traffic analysis and traffic management applies to a vast range of disciplines. Simulation of traffic may assist in both analysis and management of traffic. In many situations, simulation of traffic enables accurate traffic scenarios to be observed without the need and expense of physically generating such traffic in the real system. SIM-ENG is a simulation engine suitable for the discrete-event simulation of traffic. SIM-ENG accepts models designed using MMTS traffic simulation modelling methodology. The simulation of traffic generally requires large quantities of CPU processing time. Distribution of load over a network may be used to speed-up processing times. SIM-ENG may be incorporated into large simulation application software whereby interception of the simulation engine may occur at micro and macro levels.
An Endogenous Inhibitor of Human Immunodeficiency Virus in Human Lymphocytes Is Overcome by the Viral Vif Protein

ABSTRACT The vif gene of human immunodeficiency virus type 1 (HIV-1) encodes a basic M r 23,000 protein that is necessary for production of infectious virions by nonpermissive cells (human lymphocytes and macrophages) but not by permissive cells such as HeLa-CD4. It had been proposed that permissive cells may contain an unidentified factor that functions like the viral Vif protein. To test this hypothesis, we produced pseudotyped wild-type andvif-deleted HIV gpt virions (which contain the HIV-1 genome with the bacterial mycophenolic acid resistance genegpt in place of the viral env gene) in permissive cells, and we used them to generate nonpermissive H9 leukemic T cells that express these proviruses. We then fused these H9 cells with permissive HeLa cells that express the HIV-1 envelope glycoprotein gp120-gp41, and we asked whether the heterokaryons would release infectious HIV gpt virions. The results clearly showed that the vif-deleted virions released by the heterokaryons were noninfectious whereas the wild-type virions were highly infectious. This strongly suggests that nonpermissive cells, the natural targets of HIV-1, contain a potent endogenous inhibitor of HIV-1 replication that is overcome by Vif.
The Structure and Magnetic Moment Study of Fe–Si–Al by First-Principles Calculation

In general, the contribution to the reinforcement of the magnetism in the order-disorder transition of FeAl alloys depends on their Fe content and the order-disorder transition. However, the Fe75Si15Al10 alloys were investigated by means of first-principles calculation and experimental verification. We found that the mechanism of the magnetic moment (μm) reinforcement is the exchange interaction of Fe atom with its nearest neighbor Fe atoms. In addition, the exchange interaction of Fe-Fe atoms is affected by internal stress, lattice distortion, the Fe content, and the position of nearest neighbor nonferrous atoms (Si and Al atoms). At the annealing temperature of 600 °C , the μm is the maximum value, as the ordered DO3 structure is transformed extremely.
Understanding Outsourcing Relationships: Essays on trade and governance in the automotive industry.

xix 1 General introduction 1 1.1 Global trends and the role of outsourcing . 1 1.2 Insights from the trade literature . 2 1.3 Insights from the governance literature . 4 1.4 Evidence from the automotive industry . 5 1.5 Overview of the chapters . 6 References . 8 2 Proximity in supplier choice 11 2.
Automatic Adaptation to Post-Movement Eventrelated Synchronization in a Brain-Computer Interface

We simulate how an adaptive, two-class braincomputer interface system based on only one Laplace derivation at Cz automatically calibrates and adapts to post-movement event-related synchronization (ERS) data from 20 healthy volunteers. This is an important intermediate step towards adapting to post-movement imagery (MI) ERS signals in an online BCI. Our system performs rigorous outlier rejection, initially calibrates after only five trials per class, and re-calibrates at every five trials per class. In our analysis, the newest classifier was always applied to the ensuing trials. The results showed a high average peak accuracy over all participants of 81 . 0 ± 9 . 1 %. The high efficacy of this system on post-movement ERS data encourages us to test our system with post-MI data with the final aim to implement an online BCI system.
Free Vibration of the High Temperature Superconducting Maglev Vehicle Model

Free vibration of the high temperature superconducting (HTS) Maglev vehicle model has been investigated after an impulse force over the permanent magnet guideway. The impulse force was used to simulate the external disturbances on the HTS Maglev vehicle so as to study its vibration characteristics. In the experiments, the free vibration curves of time dependence of acceleration and frequency dependence of displacement were measured. It was found that the free vibration curves were some damped free vibration curves which seemed to decrease exponentially. Applying the impulse response curves to the dynamic equation of the HTS Maglev vehicle model, the stiffness and the damping coefficient were evaluated. The relationships between field cooling height (FCH) and the stiffness and damping coefficient were investigated. A 30 mm FCH has been proposed for the good dynamic stiffness and damping coefficient so that the unnecessary vibration of the HTS Maglev vehicle model can be eliminated automatically. The dynamic results are helpful to the further design of the HTS Maglev transport system for high-speed application.
Sustainable resource management for cloud data centers

OF THE DISSERTATION SUSTAINABLE RESOURCE MANAGEMENT FOR CLOUD DATA CENTERS by A. S. M. Hasan Mahmud Florida International University, 2016 Miami, Florida Professor S. S. Iyengar, Major Professor In recent years, the demand for data center computing has increased significantly due to the growing popularity of cloud applications and Internet-based services. Today’s large data centers host hundreds of thousands of servers and the peak power rating of a single data center may even exceed 100MW. The combined electricity consumption of global data centers accounts for about 3% of worldwide production, raising serious concerns about their carbon footprint. The utility providers and governments are consistently pressuring data center operators to reduce their carbon footprint and energy consumption. While these operators (e.g., Apple, Facebook, and Google) have taken steps to reduce their carbon footprints (e.g., by installing on-site/off-site renewable energy facility), they are aggressively looking for new approaches that do not require expensive hardware installation or modification. This dissertation focuses on developing algorithms and systems to improve the sustainability in data centers without incurring significant additional operational or setup costs. In the first part, we propose a provably-efficient resource management solution for a self-managed data center to cap and reduce the carbon emission while maintaining satisfactory service performance. Our solution reduces the carbon emission of a selfmanaged data center to net-zero level and achieves carbon neutrality. In the second part, we consider minimizing the carbon emission in a hybrid data center infrastructure that includes geographically distributed self-managed and colocation data centers. This segment
Information Concepts for Information Science

Information science, or informatics, has almost from its beginnings been characterized by a seemingly inordinate self‐consciousness, exemplified by concern with its status vis‐a‐vis other disciplines, with its status as a science, and with the significance of its objects of investigation and the goals of that investigation. The bibliography by Port, and the survey by Wellisch, of definitions of information science, and the historical survey by Harmon, all give substantial evidence of this self‐consciousness. Some aspects of this attitude are of course due to the social and political problems facing any new discipline (or field of investigation aspiring to such status), such as indifference or hostility from the established academic community, the fight for a share of limited research and development funds, the inferiority complex associated with having no well‐defined methods of investigation in a social situation which requires them for acceptance, and so on. Other aspects of this self‐consciousness may, however, be more related to strictly internal, ‘scientific’ concerns; that is, to problems within the theoretical structure of information science which must be solved in order for substantial progress in solving its practical problems to be made. This review surveys contributions to one such problem: the question of a suitable concept of information for information science.
Bayesian Analysis of Severe Acute Respiratory Syndrome: The 2003 Hong Kong Epidemic

This paper analyzes data arising from a Severe Acute Respiratory Syndrome (SARS) epidemic in Hong Kong in 2003 involving 1755 cases. A discrete time stochastic model that uses a back‐projection approach is proposed. Markov Chain Monte Carlo (MCMC) methods are developed for estimation of model parameters. The algorithm is further extended to integrate numerically over unobserved variables of the model. Applying the method to SARS data from Hong Kong, a value of 3.88 with a posterior standard deviation of 0.09 was estimated for the basic reproduction number. An estimate of the transmission parameter at the beginning of the epidemic was also obtained as 0.149 with a posterior standard deviation of 0.003. A reduction in the transmission parameter during the course of the epidemic forced the effective reproduction number to cross the threshold value of one, seven days after control interventions were introduced. At the end of the epidemic, the effective reproduction number was as low as 0.001 suggesting that the epidemic was brought under control by the intervention measures introduced. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
Is Corporate Tweeting Informative or is it Just Hype? Evidence from the SEC Social Media Regulation

Using textual analysis, I identify corporate tweets that contain financial information and study their impact on market prices. Prior to the April 2, 2013 SEC regulation allowing firms to use social media as an official news outlet, financial tweets appear to have been mostly hype in that prices do not respond to firms’ own tweeting. Following the regulation, tweeting appears to be informative – leading to a 19.5 basis points return on tweeting days that is not subsequently reversed. Moreover, firms strategically tweet negative information at times of low investor attention, such as Friday afternoons. The results suggest that firms actively use social media to communicate fundamental information to investors.
Patterns of cell proliferation in the retina of the clawed frog during development

Quantitative assays of the spatial pattern of cell production in the developing retina of Xenopus have been made using 3H‐thymidine labelling and colcemid blockade of mitosis. Reconstructions were made from serial sections showing the position of every mitotic figure in the retina. After stage 54 the number of mitotic figures decreases at the dorsal margin of the retina and increases at the ventral margin. The ventral:dorsal ratio of mitoses reaches 10:1 by metamorphosis. Density of mitotic figures is maximum at the point of entry of the ophthalmic vessels at the ventral margin. In spite of asymmetrical production of retinal cells the cell density remains constant throughout the retina, probably as a result of displacement of retinal cells dorsally to compensate for the relatively greater proliferation ventrally. It is also proposed that the asymmetrical retinal growth serves to maintain the relationship between each point in visual space and corresponding points in the two retinae as the eyes are displaced dorsally on the head during metamorphosis.