A taxonomy of supply chain innovations

In this paper, a taxonomy of supply chain and logistics innovations was developed and presented. The taxonomy was based on an extensive literature survey of both theoretical research and case studies. The primary goals are to provide guidelines for choosing the most appropriate innovations for a company, and help companies in positioning themselves in the supply of chain innovations landscape. To this end, the three dimensions of supply chain innovations, namely the goals, supply chain attributes, and innovation attributes were identified and classified. The taxonomy allows for the efficient representation of critical supply chain innovations information, and serves the mentioned goals, which are fundamental to companies in a multitude of industries

Back to the Basics: Teaching the Teachers of Sports Journalism and Media

Permissions were not obtained for sharing the full text of this article. Full text is available from University of Nebraska Press; see link in this record

Using open access literature to guide full-text query formulation

*Background*
Much scientific knowledge is contained in the details of the full-text biomedical literature. Most research in automated retrieval presupposes that the target literature can be downloaded and preprocessed prior to query. Unfortunately, this is not a practical or maintainable option for most users due to licensing restrictions, website terms of use, and sheer volume. Scientific article full-text is increasingly queriable through portals such as PubMed Central, Highwire Press, Scirus, and Google Scholar. However, because these portals only support very basic Boolean queries and full text is so expressive, formulating an effective query is a difficult task for users. We propose improving the formulation of full-text queries by using the open access literature as a proxy for the literature to be searched. We evaluated the feasibility of this approach by building a high-precision query for identifying studies that perform gene expression microarray experiments.

*Methodology and Results*
We built decision rules from unigram and bigram features of the open access literature. Minor syntax modifications were needed to translate the decision rules into the query languages of PubMed Central, Highwire Press, and Google Scholar. We mapped all retrieval results to PubMed identifiers and considered our query results as the union of retrieved articles across all portals. Compared to our reference standard, the derived full-text query found 56% (95% confidence interval, 52% to 61%) of intended studies, and 90% (86% to 93%) of studies identified by the full-text search met the reference standard criteria. Due to this relatively high precision, the derived query was better suited to the intended application than alternative baseline MeSH queries.

*Significance*
Using open access literature to develop queries for full-text portals is an open, flexible, and effective method for retrieval of biomedical literature articles based on article full-text. We hope our approach will raise awareness of the constraints and opportunities in mainstream full-text information retrieval and provide a useful tool for today’s researchers.
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Using open access literature to guide full-text query formulation

*Background* 
Much scientific knowledge is contained in the details of the full-text biomedical literature. Most research in automated retrieval presupposes that the target literature can be downloaded and preprocessed prior to query. Unfortunately, this is not a practical or maintainable option for most users due to licensing restrictions, website terms of use, and sheer volume. Scientific article full-text is increasingly queriable through portals such as PubMed Central, Highwire Press, Scirus, and Google Scholar. However, because these portals only support very basic Boolean queries and full text is so expressive, formulating an effective query is a difficult task for users. We propose improving the formulation of full-text queries by using the open access literature as a proxy for the literature to be searched. We evaluated the feasibility of this approach by building a high-precision query for identifying studies that perform gene expression microarray experiments.
 
*Methodology and Results* 
We built decision rules from unigram and bigram features of the open access literature. Minor syntax modifications were needed to translate the decision rules into the query languages of PubMed Central, Highwire Press, and Google Scholar. We mapped all retrieval results to PubMed identifiers and considered our query results as the union of retrieved articles across all portals. Compared to our reference standard, the derived full-text query found 56% (95% confidence interval, 52% to 61%) of intended studies, and 90% (86% to 93%) of studies identified by the full-text search met the reference standard criteria. Due to this relatively high precision, the derived query was better suited to the intended application than alternative baseline MeSH queries.
 
*Significance* 
Using open access literature to develop queries for full-text portals is an open, flexible, and effective method for retrieval of biomedical literature articles based on article full-text. We hope our approach will raise awareness of the constraints and opportunities in mainstream full-text information retrieval and provide a useful tool for today’s researchers.
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Antimicrobial resistance of isolated Streptococcus pneumoniae in a hospital of the Brazilian public system

Streptococcus pneumoniae is the predominant bacterial agent that affects the human population with pneumonia. This disease is an important cause of death in the elderly and the children under five years old. in this study, 29 strains of invasive S. pneumoniae were isolated from 29 patients of pneumonia, bacteremia and meningitis in the laboratory of the Municipal Hospital in Paulinia, Brazil, from May 2006 to October 2007. Patients' age ranged from 8 months old to 60 years old. These strains of S. pneumoniae were isolated from blood, pleural fluid and cerebrospinal fluid (CSF) of patients. After typing of encapsulated strains of S. pneumoniae through quellung reaction, their resistance to antimicrobial agents was gauged through Disc Diffusion Technique followed by determination of minimum inhibitory concentration (MIC). Among the 29 strains analyzed, 23 were methicillin-sensitive and six were methicillin-resistant and penicillin intermediate resistant. No strain presented full resistance to penicillin. Serotyping was performed only in two samples, which belonged to serotype 18. Our data may alert ambulatory regarding the incidence of pneumococcal strains resistant to the most common drugs due to inappropriate use of antimicrobials and also collaborate to the elaboration of pneumococcal conjugate vaccines specific to each region.NEPASHosp Municipal Paulinia, Setor Microbiol, Paulinia, SP, BrazilUniversidade Federal de São Paulo, Dept Farm Bioquim, Diadema, SP, BrazilFac Med ABC, Dept Morfol Fisiol, Lab Escrita Cientif, Santo Andre, BrazilUniv Estadual Paulista, Fac Filosofia & Ciencias, Dept Fonoaudiol, Marilia, SP, BrazilUniversidade Federal de São Paulo, Dept Farm Bioquim, Diadema, SP, BrazilWeb of Scienc

Particle production in proton-proton collisions

Proton-proton collision is a simple system to investigate nuclear matter and it is considered to be a guide for more sophisticated processes in the proton-nucleus and the nucleus-nucleus collisions. In this article, we present a phenomological study of how the mechanism of particle production in pp interaction changes over a wide range of interaction energy. This study is done on data of charged particle produced in pp experiments at different values of energy. Some of these data give the created particles classified as hadrons, baryons and mesons, which help us compare between production of different particles. This might probe some changes in the state of nuclear matter and identify the mechanism of interaction.Comment: arXiv admin note: text overlap with arXiv:1410.715

Feeling the Love: Sportscasters Score Big with Job Satisfaction

Permissions were not obtained for sharing the full text of this article. Full text is available from University of Nebraska Press; see link in this record.This study indicates that TV sportscasters (N = 272) are extremely satisfied in their jobs. Perceived organizational support and management's commitment to local sports coverage contributed to that satisfaction. Work-family conflict, role overload and job demands had little influence on sportscasters' dissatisfaction. Market size, airtime allowed and job title did not appear to influence satisfaction levels. The authors conclude that work autonomy and a perception of support from TV management is what keep sportscasters satisfied

TV Sportscasters 1, Burnout 0: Resources Sideline the Job Stressors of Sports Broadcasters

Permissions were not obtained for sharing the full text of this article. Full text is available from University of Nebraska Press; see link in this record.Using the Maslach Burnout Inventory-General Survey, this study determined that about 75% of 272 U.S. television sportscasters were not experiencing a great deal of burnout. However, they did indicate that job demands, role overload and work-family conflict were predictors of burnout’s exhaustion variable. Conservation of Resources theory suggests that during difficult times individuals rely upon stored resources but demands can deplete those resources. In this study, job satisfaction and station support acted as resources