bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Human Resource Management in Slovenian Family and Non-Family Businesses
Authors: Kopriva Iztok , Bernik Mojca 
Published: December 2009

Comparison of Human Resource Management in Slovenian Family and Non-Family Businesses
The room to reach a competitive advantage in today's dynamic world, companies have in unutilized and even unknown human abilities of own employees. Treatment of people at work in large organizations is well analyzed, but little focus is directed at small and medium-sized enterprises. This is particularly true for family businesses. Small and medium-sized enterprises are largely owned by individual families and are an extremely important part of developed economies. Complexity of internal relationships and interplay between the two systems: families and businesses, which often lead to conflicts in interaction, however, is the reason that many managers and professionals are not willing to work in family businesses. It is justified to set the research question; Are we obligate to treated family businesses as a special case when considering the management of people at work? This paper presents the need to address the family businesses as a special case. In a successful and long living family businesses undoubtedly are closely and carefully working with the employees. It is little known about dealing with people in a Slovenian family businesses and how management practices differ from non-family firms. Based on the study of literature and conclusions from a qualitative empirical study the differences are presented in this article. There are also presented differences in practices of dealing with people at work in foreign and Slovenian non-family and family businesses. At the end there are exposed a good practices of each type of business and recommendations for their use.
Effect of Ibicella lutea on uropathogenic Proteus mirabilis growth, virulence, and biofilm formation
Authors: Sosa Vanessa , Zunino Pablo 
Published: December 2009

Background: Proteus mirabilis, an important uropathogen that can cause complicated urinary tract infections (UTI), has emerged as a therapeutic problem following mutations that compromise the use of antimicrobial drugs. Due to the serious effects associated with uropathogenic P. mirabilis and the problems related to the use of antibiotics, it is necessary to develop alternative strategies for its control. The objective of this study was to assess the effect of Ibicella lutea extract, a South American indigenous plant, on growth, virulence and biofilm production of uropathogenic P. mirabilis. Methodology: This study was based on the extract generation and the assessment of its effect on bacterial features related to virulence. These assays involved determination of antibacterial activity, swarming motility, Western blot to assess expression of fimbriae and flagella, biofilms formation, haemagglutination, haemolysis, and electron microscopy. Results and Conclusions: I. lutea extract had an effect on bacterial growth rate and bacterial morphology. It also affected P. mirabilis swarming differentiation, hemagglutination and biofilm formation on glass and polystyrene. These findings suggest that I. lutea may have a role as an agent for the control of P. mirabilis UTI.
Passive immunity to pandemic H1N1 2009 by swine flu parties
Authors: Aggarwal Nitish , Aggarwal Pushkar 
Published: December 2009

The general population is concerned about the probable devastating effects of pandemic H1N1 2009. Based upon the 1918 Spanish flu pandemic, scientific publications and theories, the idea of swine flu parties to achieve passive immunity against pandemic H1N1 2009 has been proposed. Public health officials have asked the general public not to resort to this method. However, no concrete evidence of the reasoning behind the recommendation has been given. In this paper, we have dynamically modeled the effect of swine flu parties on the immunity achieved and associated mortality for a period of two years. The simulations show that the public should not organize or participate in swine flu parties as they will likely increase swine flu-associated mortality.
Influenza Vaccines: The Key to Disease Prevention and Control
Authors: Krilov Leonard R. 
Published: December 2009

CME Educational Objectives

1.
Review the current status of influenza vaccines for seasonal strains and the 2009 novel H1N1 strain.

2.
List issues surrounding the appropriate use of these vaccines in their currently available forms.

3.
Identify the compelling reasons for advocating the appropriate use of these vaccines to optimize protection for children and the population as a whole.
Modality of hyperalgesia tested, not type of nerve damage, predicts pharmacological sensitivity in rat models of neuropathic pain
Authors: Pradhan Amynah Amir Ali , Yu Xiao Hong , Laird Jennifer M.A. 
Published: December 2009

AbstractAlthough many types of nerve damage can cause neuropathic pain, there are substantial commonalities in neuropathic pain symptoms, and patients can be divided into sub‐groups based on their symptom profile rather than etiology. Mechanism‐based treatment suggests that pharmacotherapy should be chosen be based shared commonalities of symptoms rather than etiology. The aim of the present study was to determine whether type of injury (etiology) or behavioral endpoint (symptom) is a better predictor of pharmacological responsivity in the most commonly used rodent models of neuropathic pain. We used the chronic constriction injury (CCI) model to directly compare the temporal and pharmacological characteristics of four different types of evoked stimuli; heat, pressure, acetone cooling and punctate mechanical. We then compared heat hyperalgesia and mechanical allodynia endpoints across etiologies using the spinal nerve ligation (SNL) model. Evoked pain responses in both models had strikingly different temporal characteristics. We then tested three standard therapies for neuropathic pain from different drug classes, oxycodone, gabapentin, and amitriptyline. Notably, regardless of the model tested, or the time of onset, common endpoints showed near‐identical pharmacological responses, and not all endpoints were equally sensitive to drug intervention within one model. Hypersensitivity to heat and pressure were highly responsive to oxycodone, gabapentin, and amitriptyline; whereas cold and mechanical allodynia were more difficult to reverse. Moreover, CCI‐ and SNL‐induced mechanical allodynia was completely insensitive to amitriptyline treatment. We conclude that regardless of model and time course of presentation, different symptoms of peripheral neuropathy have unique pharmacological responses.
Relationships between coping strategies and lumbar muscle activity in subjects with chronic low back pain
Authors: van der Hulst Marije , Vollenbroek‐Hutten Miriam M. , Schreurs Karlein M. , Rietman Johan S. , Hermens Hermanus J. 
Published: December 2009

AbstractBackground: Concerning chronic low back pain (CLBP), different cognitive–behavioral models have hypothesized that coping strategies play a role in the chronification of pain by changes in physical activity. Strategies such as avoidance – or persistent coping may be related to changes in (lumbar) muscle activity.Aim: Investigate the different coping strategies present in CLBP and whether these are differentially related to lumbar muscle activity during walking.Methods: In a cross sectional study, 63 subjects with CLBP walked on a treadmill at 3.8 km/h. Coping strategies were measured with the Dutch version of the Coping Strategies Questionnaire and three factors were identified with principal component analysis. Surface electromyography data of the erector spinae were obtained and smooth rectified electromyography (SRE) values were averaged per periods of swing and double support. The ratio of SRE values (swing/double support) was used as a measure of relaxation. The relation between SRE values and coping strategies was analyzed with random coefficient analysis.Results: Three coping strategies (i.e. “catastrophizing”, “distraction” and “persistence and control”) could be discerned. “Catastrophizing” was positively related to (natural logarithm) SRE values (β = 0.06, 95% CI = 0.01–0.10; R2 = 7.7%). “Distraction” was negatively associated with SRE ratios (β = −0.03, 95% CI = −0.05 to −0.01; R2 = 7.5%). No relation was found between “persistence and control” and SRE values or ratios.Conclusions: In CLBP, a maladaptive coping strategy like “catastrophizing” is related to increased lumbar muscle activity, and an adaptive strategy like “distraction” to increased lumbar muscle relaxation during walking.
Pain expression in children with an intellectual disability
Authors: Dubois Amandine , Capdevila Xavier , Bringuier Sophie , Pry René 
Published: December 2009

AbstractBackground: Children with an intellectual disability (ID) are sometimes unable to verbalize and describe their painful experience; therefore family members and health carers can assess the intensity of the pain only from the behaviour exhibited by the children.Aim and method: The purpose of this descriptive and exploratory study was to examine the behavioural pain expression in 30 children with ID aged from 5 to 18 years in a surgical context. Children were matched with 30 typically developing children of the same chronological age and 30 typically developing children of the same developmental age.Results: The results showed the influence of the level of expressive communication on the pain expression. Children who were able to verbalize their pain exhibited a normative pain expression with behavioural traits similar to those of typically developing children of the same developmental age. Children who were unable to verbalize their pain produced particular pain expressions with behavioural traits that were atypical and without a communicative goal.Conclusion: Pain expression modalities are extremely different between children able to verbalize their pain and those unable to do so. This study confirmed the necessity to take into account the particularities of each child with ID in order to individualize the pain management and avoid misdiagnosis and the under treating of pain in non verbal children.
The floristic composition and ecology of periphytic diatoms from the man-made tropical lake Tasik Kenyir, in Malaysia
Authors: Rouf A. J. M. Abdur , Ambak M. A. , Phang Siew-Moi 
Published: December 2009

A total of 159 diatom taxa, mostly pennates, under 35 genera, were encountered on the submersed surface of standing dead trees in Lake Kenyir, Malaysia, during one year of sampling in 1995. Their station wise distribution was 101 taxa at the Dam side (site 1) and 145 taxa at the Petang River (site 2), showing 50% more taxa at the latter station. The spatial variability of diatoms is corroborated by the value of the Jaccard similarity index which was found to be 0.48 between the two stations. The monthly species richness ranged from 22 (November) to 60 (September) at the Dam side, whereas it was 32 (January) to 82 (September) at Petang River. The species diversity ranged from 2.87 to 3.70 and showed a positive correlation with species richness.
The pattern in frequency of occurrence of the diatom community was similar at both sites; 35% of the total taxa occurred only once a year in the samples; 31% of the taxa occurred 2–4 times. 15% taxa occurred 5–8 times, and the last 20% occurred 9–12 times in a year. The results of Principal Component Analysis showed that the first and second components comprised 59.4% variability in the data. A general pattern in diatom assemblages can be categorised into four groups along pH gradients. These are group 1: alkalibiont taxa, group 2: heterogeneous mixture of alkaliphilous, circumneutral taxa, group 3: acidobiontic taxa, and group 4: acidophilous taxa.
This study showed that the diatom species pool of Lake Kenyir is very rich, like that expected in a tropical waterbody, and the frequency of occurrence of diatom taxa may be related to the niche availability which requires further investigation. Moreover, the spatial variability of diatom communities within the lake is conspicuous, which is probably linked with habitat heterogeneity: Dam side is the main basin of the lake with open deep pelagic zone, and Petang River is a small shallow flowing stream bed comprised of cobbles and boulders.
A Simple Mathematical Method to Predict the Course of a First Episode of Liver Viral Cytolysis
Authors: Dioguardi Nicola , Barbieri Antonio , Daccò Renato , Grizzi Fabio 
Published: December 2009

Early detection of the self‐limiting or chronic tendency towards disease at the beginning of the hepatitis process is a canonical element of the analysis and synthesis to formulate the diagnosis and to decide the most useful and economic therapeutic strategy. Early treatment with antiviral drugs before liver functions undergo deterioration may reduce death and disability especially in young patients.A formula suggested by a Max Planck equation provides mathematical curves that can be obtained very early during the course of hepatitis using just a few initial serum measurements of the alanine‐aminotransferase (ALT) enzyme. The clinical ALT data forming the unpredictable early natural curve of ALT can be transformed into mathematical values capable of providing a deterministic curve that intersects the normal ALT value at what is known as the G point, and allows some predictions to be made concerning the acute or chronic evolution of the disease.The G point seems to be a good predictor of whether or not a patient with clinically evident first episode of viral hepatitis will develop chronic liver disease as it revealed the initial phase of the first cytolytic episode in 56 untreated patients of our 59 cases; the three wrong predictions involved patients being treated with interferon.
The Gene Interaction Miner: a new tool for data mining contextual information for protein–protein interaction analysis
Authors: Ikin Aaron , Riveros Carlos , Moscato Pablo , Mendes Alexandre 
Published: December 2009

Abstract
Motivation: This work was motivated by the need for an automated tool for discovery of genetic networks and the availability of extensive contextual protein–protein interaction information in the iHOP repository. At the moment, this information cannot be explored to its full potential due to the lack of software tools to reliably collect, process and display that information in a way that life scientists can quickly analyze genes of interest and search for potential interaction networks. Commercial tools can perform a similar job, but results appear to be less informative than those obtained using contextual information.
Results: The Gene Interaction Miner (GIM) could successfully uncover complex network structures of protein–protein interactions for a test dataset composed of genes already related to Alzheimer's disease. That same set, when examined using two other analysis tools, namely STRING and Pathway Studio, resulted in incomplete protein–protein interaction networks, which indicate that the use of curated databases only gives a partial picture of the biological processes behind the disease.
Availability: The dataset used in this work and a running version of the software tool is available for download from the web site http://www.cs.newcastle.edu.au/∼mendes/softwareGIM.html.
Contact: alexandre.mendes@newcastle.edu.au
PathGen: a transitive gene pathway generator
Authors: Clement Kendell , Gustafson Nathaniel , Berbert Amanda , Carroll Hyrum , Merris Christopher , Olsen Ammon , Clement Mark , Snell Quinn , Allen Jared , Roper Randall J. 
Published: December 2009

Abstract
Summary: Many online sources of gene interaction networks supply rich visual data regarding gene pathways that can aid in the study of biological processes, disease research and drug discovery. PathGen incorporates data from several sources to create transitive connections that span multiple gene interaction databases. Results are displayed in a comprehensible graphical format, showing gene interaction type and strength, database source and microarray expression data. These features make PathGen a valuable tool for in silico discovery of novel gene interaction pathways, which can be experimentally tested and verified. The usefulness of PathGen interaction analyses was validated using genes connected to the altered facial development related to Down syndrome.
Availability: http://dna.cs.byu.edu/pathgen
Contact: clement@cs.byu.edu
Supplementary Information: Supplementary data are available at Bioinformatics online. Further information is available at http://dna.cs.byu.edu/pathgen/PathGenSupplemental.pdf
Quantifying the biological significance of gene ontology biological processes—implications for the analysis of systems-wide data
Authors: Chagoyen Monica , Pazos Florencio 
Published: December 2009

Abstract
Motivation: Gene Ontology (GO), the de facto standard for representing protein functional aspects, is being used beyond the primary goal for which it is designed: protein functional annotation. It is increasingly used to evaluate large sets of relationships between proteins, e.g. protein–protein interactions or mRNA co-expression, under the assumption that related proteins tend to have the same or similar GO terms. Nevertheless, this assumption only holds for terms representing functional groups with biological significance (‘classes’), and not for the ones representing human-imposed aggregations or conceptualizations lacking a biological rationale (‘categories’).
Results: Using a data-driven approach based on a set of high-quality functional associations, we quantify the functional coherence of GO biological process (GO:BP) terms as well as their explicit and implicit relationships, trying to distinguish classes and categories. We show that the quantification used is in agreement with the distinction one would intuitively make between these two concepts. As not all GO:BP terms and relationships are equally supported by current functional associations, any detailed validation of new experimental data using GO:BP, beyond whole-system statistics, should take such unbalance into account.
Contact: pazos@cnb.csic.es
Supplementary information: Supplementary data are available at Bioinformatics online.
Optimization of minimum set of protein–DNA interactions: a quasi exact solution with minimum over-fitting
Authors: Temiz N. A. , Trapp A. , Prokopyev O. A. , Camacho C. J. 
Published: December 2009

Abstract
Motivation: A major limitation in modeling protein interactions is the difficulty of assessing the over-fitting of the training set. Recently, an experimentally based approach that integrates crystallographic information of C2H2 zinc finger–DNA complexes with binding data from 11 mutants, 7 from EGR finger I, was used to define an improved interaction code (no optimization). Here, we present a novel mixed integer programming (MIP)-based method that transforms this type of data into an optimized code, demonstrating both the advantages of the mathematical formulation to minimize over- and under-fitting and the robustness of the underlying physical parameters mapped by the code.
Results: Based on the structural models of feasible interaction networks for 35 mutants of EGR–DNA complexes, the MIP method minimizes the cumulative binding energy over all complexes for a general set of fundamental protein–DNA interactions. To guard against over-fitting, we use the scalability of the method to probe against the elimination of related interactions. From an initial set of 12 parameters (six hydrogen bonds, five desolvation penalties and a water factor), we proceed to eliminate five of them with only a marginal reduction of the correlation coefficient to 0.9983. Further reduction of parameters negatively impacts the performance of the code (under-fitting). Besides accurately predicting the change in binding affinity of validation sets, the code identifies possible context-dependent effects in the definition of the interaction networks. Yet, the approach of constraining predictions to within a pre-selected set of interactions limits the impact of these potential errors to related low-affinity complexes.
Contact: ccamacho@pitt.edu; droleg@pitt.edu
Supplementary information: Supplementary data are available at Bioinformatics online.
Tablet—next generation sequence assembly visualization
Authors: Milne Iain , Bayer Micha , Cardle Linda , Shaw Paul , Stephen Gordon , Wright Frank , Marshall David 
Published: December 2009

Abstract
Summary: Tablet is a lightweight, high-performance graphical viewer for next-generation sequence assemblies and alignments. Supporting a range of input assembly formats, Tablet provides high-quality visualizations showing data in packed or stacked views, allowing instant access and navigation to any region of interest, and whole contig overviews and data summaries. Tablet is both multi-core aware and memory efficient, allowing it to handle assemblies containing millions of reads, even on a 32-bit desktop machine.
Availability: Tablet is freely available for Microsoft Windows, Apple Mac OS X, Linux and Solaris. Fully bundled installers can be downloaded from http://bioinf.scri.ac.uk/tablet in 32- and 64-bit versions.
Contact: tablet@scri.ac.uk
DataPflex: a MATLAB-based tool for the manipulation and visualization of multidimensional datasets
Authors: Hendriks Bart S. , Espelin Christopher W. 
Published: December 2009

Abstract
Motivation: DataPflex is a MATLAB-based application that facilitates the manipulation and visualization of multidimensional datasets. The strength of DataPflex lies in the intuitive graphical user interface for the efficient incorporation, manipulation and visualization of high-dimensional data that can be generated by multiplexed protein measurement platforms including, but not limited to Luminex or Meso-Scale Discovery. Such data can generally be represented in the form of multidimensional datasets [for example (time × stimulation × inhibitor × inhibitor concentration × cell type × measurement)]. For cases where measurements are made in a combinational fashion across multiple dimensions, there is a need for a tool to efficiently manipulate and reorganize such data for visualization. DataPflex accepts data consisting of up to five arbitrary dimensions in addition to a measurement dimension. Data are imported from a simple .xls format and can be exported to MATLAB or .xls. Data dimensions can be reordered, subdivided, merged, normalized and visualized in the form of collections of line graphs, bar graphs, surface plots, heatmaps, IC50’s and other custom plots. Open source implementation in MATLAB enables easy extension for custom plotting routines and integration with more sophisticated analysis tools.
Availability: DataPflex is distributed under the GPL license (http://www.gnu.org/licenses/) together with documentation, source code and sample data files at: http://code.google.com/p/datapflex.
Contact: DataPflexinfo@gmail.com; bhendriks@merrimackpharma.com
Supplementary information: Supplementary data available at Bioinformatics online.