bluuebunny/crossref_metadata_2025_split huggingface dataset:
Food Security and Teenage Labor Supply
Authors: Hamersma Sarah , Kim Matthew 
Published: April 2015

AbstractThis study assesses whether teenage labor force participation may influence the food security of children in their families. We utilize the Current Population Survey annual Food Security Supplement and linked monthly core data from 2001 through 2012 to assess the year‐to‐year dynamics of food security status in families with teenagers. We estimate the effect of teenage employment on food security while controlling for all time‐invariant individual and household characteristics using a fixed‐effects model. We find that an employed teen reduces the predicted probability of a family's children having very low food security by an economically and statistically significant 50%.
Integrating ontologies of rare diseases and radiological diagnosis
Authors: Kahn Charles E 
Published: April 2015

Abstract
Purpose The author sought to integrate an ontology of rare diseases with a large ontological model of radiological diagnosis.
Materials and Methods The Orphanet Rare Disease Ontology (ORDO) comprised 6794 rare diseases. The Radiology Gamuts Ontology (RGO) incorporated 16 197 terms and 53 425 causal relations linking disorders to imaging manifestations. Semi-automated string-matching was used to match ORDO terms to RGO terms.
Results Of 6794 ORDO terms, 1587 (23.3%) were matched to RGO terms. An additional 700 ORDO terms whose names were hyphenated lists of phenotypic features were added to RGO with causal links from the disease name to the various features. Matched terms were more likely to have higher disease prevalence.
Conclusions Integrating these ontologies expanded the set of terms and scope of knowledge available for radiological differential diagnosis, and can support translational rare-disease research by linking knowledge of genetics and imaging phenotypes.
The Evolution of Cooperation by the Hankshaw Effect
Authors: Hammarlund Sarah , Connelly Brian D. , Dickinson Katherine J. , Kerr Benjamin 
Published: April 2015

AbstractThe evolution of cooperation—costly behavior that benefits others—faces one clear obstacle. Namely, cooperators are always at a competitive disadvantage relative to defectors, individuals that reap the same social benefits, but evade the personal cost. One solution to this problem involves genetic hitchhiking, where the allele encoding cooperative behavior becomes linked to a beneficial mutation. While traditionally seen as a passive process driven purely by chance, here we explore a more active form of hitchhiking. Specifically, we model hitchhiking in the context of adaptation to a stressful environment by cooperators and defectors with spatially limited dispersal. Under such conditions, clustered cooperators reach higher local densities, thereby experiencing more opportunities for mutations than defectors. Thus, the allele encoding cooperation has a greater probability of hitchhiking with alleles conferring stress adaptation. We label this probabilistic enhancement the “Hankshaw effect” after the character Sissy Hankshaw, whose anomalously large thumbs made her a singularly effective hitchhiker. Using an agent-based model, we demonstrate that there exists a broad set of conditions allowing the evolution of cooperation through the Hankshaw effect. We discuss the feasibility of our theoretical assumptions for natural systems, not only for the case of cooperation, but also for other costly social behaviors such as spite. The primary elements of our model, including genetic hitchhiking and population structure, have been discussed separately in previous models exploring the evolution of cooperation. However, the combination of these elements has not been appreciated as a solution to the problem of cooperation.
GERV: A Statistical Method for Generative Evaluation of Regulatory Variants for Transcription Factor Binding
Authors: Zeng Haoyang , Hashimoto Tatsunori , Kang Daniel D , Gifford David K 
Published: April 2015

AbstractThe majority of disease-associated variants identified in genome-wide association studies (GWAS) reside in noncoding regions of the genome with regulatory roles. Thus being able to interpret the functional consequence of a variant is essential for identifying causal variants in the analysis of GWAS studies. We present GERV (Generative Evaluation of Regulatory Variants), a novel computational method for predicting regulatory variants that affect transcription factor binding. GERV learns a k-mer based generative model of transcription factor binding from ChIP-seq and DNase-seq data, and scores variants by computing the change of predicted ChIP-seq reads between the reference and alternate allele. The k-mers learned by GERV capture more sequence determinants of transcription factor binding than a motif-based approach alone, including both a transcription factor’s canonical motif as well as associated co-factor motifs. We show that GERV outperforms existing methods in predicting SNPs associated with allele-specific binding. GERV correctly predicts a validated causal variant among linked SNPs, and prioritizes the variants previously reported to modulate the binding of FOXA1 in breast cancer cell lines. Thus, GERV provides a powerful approach for functionally an-notating and prioritizing causal variants for experimental follow-up analysis. The implementation of GERV and related data are available athttp://gerv.csail.mit.edu/
Crossvalidation in Brain Imaging Analysis
Authors: Kriegeskorte Nikolaus 
Published: April 2015

AbstractCrossvalidation is a method for estimating predictive performance and adjudicating between multiple models. On each of k folds of the process, k-1 of k independent subsets of the data (training set) are used to fit the parameters of each model and the left-out subset (test set) is used to estimate predictive performance. The method is statistically efficient, because training data are reused for testing and performance estimates combined across folds. The method requires no assumptions, provides nearly unbiased (slightly conservative) estimates of predictive performance, and is generally applicable because it amounts to a direct empirical test of each model.
What’s the right game? Time-to-market vs “coopetition” in the Myanmar mobile market
Authors: Kumar Ashish , Shankar Ravi , Momaya Kirankumar S. 
Published: April 2015

Purpose– The purpose of this paper is to illustrate, from a Myanmar mobile operator’s point of view, the trade-off between trying to trying to get to untapped towns and villages faster than competition (“time-to-market” strategy) and cooperating with competition through network sharing to reduce costs (“coopetition” strategy).Design/methodology/approach– The system dynamics (SD) model shows the business results of a Myanmar mobile operator under two different scenarios, one in which the focus is on time-to-market, and the other in which the focus is on coopetition.Findings– An operator motivated by time-to-market advantage expects better margins by capturing market share ahead of competition. However, when every operator follows this individual agenda, its time-to-market benefit depends on whether it is actually faster than competition. In contrast, coopetition eliminates costs by design and provides assured margin improvements.Practical implications– The paper establishes that coopetition has a clear economic rationale. Adopting coopetition improves the business case of the mobile operator and helps it to contribute to the socio-economic development of Myanmar.Originality/value– The paper applies SD modelling, which is under-represented in marketing, to a study on coopetition in the mobile industry, in the context of Myanmar, a market which is rarely studied in marketing research.
Factors influencing sport tourists’ revisit intentions
Authors: Allameh Sayyed Mohsen , Khazaei Pool Javad , Jaberi Akbar , Salehzadeh Reza , Asadi Hassan 
Published: April 2015

Purpose– The purpose of this paper is to investigate the relationships among destination image, perceived quality, perceived value, satisfaction and revisit intention of sport tourism in Iran.Design/methodology/approach– Statistical population of this research consisted of those tourists who traveled to Mazandaran province in Iran as a sport tourism destination in 2012. A random sample of 1,250 tourists was asked to respond to questionnaires from which 886 accurate questionnaires were used for analysing data. Structural equation modeling (SEM) was used to explore the relationships among the research variables.Findings– The results showed that sport tourists’ perception of destination image, perceived quality and perceived value influenced their satisfaction and revisit intention positively.Originality/value– The results of this research help to better understand the behavioral intentions, which can be an acceptable basis to increase sport tourists’ visit and revisit of a sport destination.
Benchmarking academics through sustainable assessment criteria: an Indian case study
Authors: Singh Bikram Jit , Joshi Rakesh 
Published: April 2015

Purpose
– The purpose of this paper is to primarily emphasize on improvement of student’s academic excellence through devising and implementing a competent Internal Assessment Criteria that indirectly improves their results and passing rates in exams.

Design/methodology/approach
– In present system, Internal Assessment Criteria has evolved as critical factor having lot of margin for bringing improvement in student’s academics by redesigning or editing the existing one, appropriately. Assessment criteria are re-optimized by strategic implementation of well proved Six Sigma’s DMAIC approach.

Findings
– It is a one of rarely seen effort to transform Assessment Criteria by identifying the statistical relations between internal marks and external marks secured by students in an end semester university exams. The proposed framework and its validation through an Indian case study, ignites the application of this structured Six Sigma approach in higher education for necessary excellence.

Research limitations/implications
– The whole work revolves around the Indian engineering environments, moreover the case has been restricted and elaborate facts for only unaided (private) engineering universities.

Practical implications
– The paper can be utilized to stimulate thinking about the fine tuning of Assessment Criteria through proven Six Sigma methodology in current Indian academic settings and further safeguarding the interests of managements, students and society, simultaneously.

Originality/value
– The formulation of upcoming challenges before Indian engineering system are outcome of intense literature survey. Focussing on always neglected “Assessment Criteria” and its re-optimization by statistical approach of Six Sigma is hard to found and has immense scope in future for reaching at desired academic hikes.
Multi-criteria decision making towards selection of industrial robot
Authors: Sen Dilip Kumar , Datta Saurav , Patel Saroj Kumar , Mahapatra Siba Sankar 
Published: April 2015

Purpose
– Robot selection is one of the critical decision-making tasks frequently performed by various industries in order to choose the best suited robot for specific industrial purposes. In recent marketplace, the number of robot manufacturers has increased remarkably offering a wide range of models and specifications; thus, robot selection has become indeed confusing as well as complicated task. Selection of an appropriate robot is a sensitive process; it may result massive letdown, if not chosen properly. Therefore, for unravel the selection problem; the purpose of this paper is to explore the preference ranking organization method for enrichment evaluation (PROMETHEE) II method.

Design/methodology/approach
– Apart from a large variety of robotic systems, existence of various multi-criteria decision making (MCDM) tools and techniques may create confusion to the decision makers’ in regards of application feasibility as well as superiority in performance to work under different decision-making situations. In this context, the PROMETHEE II method has been found as an efficient decision-making tool which provides complete ranking order of all available alternatives prudently, thus avoiding errors in decision making.

Findings
– In this context, the present paper highlights application potential of aforesaid PROMETHEE II method in relation to robot selection problem subjected to a set of quantitative (objective) evaluation data collected from the available literature resources. Advantages and disadvantages of PROMETHEE II method have also been reported in comparison to other existing MCDM approaches.

Originality/value
– The study bears significant managerial implications. Proper evaluation and selection of appropriate candidate robot would be helpful for the industries in order to improve product quality as well as to increase productivity. Proper utilization of resources could be ensured. Functioning would be accurate with reduced timespan. As a consequence, company can increase its profit margin in long run.
Integration of AHP-QFD for selecting facility location
Authors: Chadawada Rajesh , Sarfaraz Ahmad , Jenab Kouroush , Pourmohammadi Hamid 
Published: April 2015

Purpose
– The purpose of this paper is to describe and implements an analytic hierarchy process (AHP)-QFD model for selecting the best location from an organization point of view which picks the site with the best opportunity requirements. Integration of AHP-QFD process gives us a new approach to assist organizations through observing various factors and selecting the best location among different alternatives. This approach uses AHP method to match the preferences required by decision makers and these preferences are applied to the characteristics of QFD. The model fundamental requirement are perfect potential locales and the areas are contrasted and both quantitative and qualitative elements to permit directors to join managerial experience and judgment in the answer process. The AHP-QFD model is also applied on a case study to illustrate the solution process.

Design/methodology/approach
– The integration of AHP and QFD is used to analyze available options and select the best alternative. This can be done by ranking each criterion through a pairwise comparison. Given collected data, the QFD approach is used to find the capability of each criterion.

Findings
– Integration of AHP-QFD is used to select the best alternative in facility location. This integrated approach can be best used in dealing with facility location problems.

Originality/value
– The developed AHP-QFD model in facility location problems, facilitates the inclusion of market criteria and decision maker opinion into the traditional cost function, which has been mainly distance base in the literature.
Female entrepreneurship in the UAE: a multi-level integrative lens
Authors: Naguib Rabia , Jamali Dima 
Published: April 2015

Purpose– This paper aims to propose a multi-level integrative research framework anchored in an institutional theory that can successfully capture the multitude of factors affecting the expression of female entrepreneurship in context. Although female entrepreneurship is known to contribute to economic growth and vitality, and to enhance the diversity of employment in any economic system, there is very little research pertaining to female entrepreneurship in the Middle East. The authors use this framework to provide insights into multi-level factors enabling and constraining the experience of female entrepreneurship in the United Arab Emirates (UAE) and advance knowledge of female entrepreneurship in a particular Middle Eastern context as well as cross-nationally.Design/methodology/approach– Analytical framework and qualitative research methodology consisting of focus group meetings and interviews with 15 female entrepreneurs and five male partners in the UAE.Findings– Our findings aptly highlight the salience of a complex set of entangled factors lying at multiple levels of analysis in shaping female entrepreneurship in the UAE. Our findings also accentuate the importance of the institutional and social contexts in shaping the situational opportunities and constraints that affect female entrepreneurship and its complex expressions in a particular society. Although our findings document a positive tide of change in favor of female entrepreneurship, they also reveal the persistence of various traces of stereotypes and patriarchy that continue to constrain the free expressions of female entrepreneurship in the UAE.Research limitations/implications– This study contributes empirically by conveying the lived experiences of a sample of women entrepreneurs in the UAE, but the results cannot be generalized given the limited size of the sample investigated. Conceptually, the analytical framework proposed in this paper represents a simplified heuristic tool rather than an explanatory model of the complex dynamics and interplays between different levels of analysis and institutional pressures when examining female entrepreneurship.Originality/value– The value added of this research is to present original insights into female entrepreneurship from a vibrant Middle Eastern context, namely, the UAE, a country that has attracted and witnessed increasing attention in recent years in the context of globalization. In view of the Western-centric nature of academic publication on the topic, there is a real need for fresh theoretical and empirical insights stemming from an Arab-Middle Eastern context to advance knowledge and scholarship in this area.
The values and visions of the professional department head: not so different from the past?
Authors: Møthe Svein , Ballangrud Brit Olaug Bolken , Stensaker Bjørn 
Published: April 2015

Purpose– The purpose of this paper is to analyze how appointed leaders in Norwegian higher education perceive their role and influence, and their discretion as academic leaders.Design/methodology/approach– The paper applies strategic, cultural and political perspectives on leadership to investigate the understanding and perceptions held by academic leaders regarding their own work. The study applied a qualitative strategy based on a cross-sectional design. The findings are based on semi-structured interviews with 18 purposefully selected academic leaders.Findings– The findings reveal that appointed academic leaders are struggling with traditions and cultures and current governing structures and funding mechanisms on the other. The paper argues that this dilemma limits the potential for academic leaders to instigate change and that leadership perhaps has been overemphasized as a factor driving transformation of higher education.Originality/value– The paper suggests the heated debates in Norway about whether academic leaders should be elected or appointed has limited relevance for understanding how academic leadership is performed in the actual daily work of leaders. The paper suggest that the current interest in selection of leaders perhaps should be downplayed in favor of a perspective focussing on the cultural factors framing current leadership practices.
Leading learning organizations through transformational change
Authors: Boone Joyce 
Published: April 2015

Purpose
– There are two conditions that threaten to derail the American education system as we know it: the poor state of the US economy in America and the less than effective structure of the American education system. Researchers and practitioners are searching to identify tools and strategies that can help to restore confidence in the soundness of the US education system. One such strategy is blended learning delivery formats. The purpose of this paper is to examine implications of and recommend blended learning strategies.

Design/methodology/approach
– This writing presents a description of the problem, an abridged review of related literature, a discussion of the possibilities for blended learning in academic organizations, and the associated transformational change implications. It is presented as a decision-making tool for administrators to consider including blended learning formats in their strategies to address the effects of the questionable outlook of the US economy and the outdated structure of the US education system.

Findings
– The writing concludes with recommendations for leading the change to blended learning formats in learning organizations.

Originality/value
– The information in the paper is presented as a decision-making tool for educational administrators in considering blended learning strategies for their organizations.
Mentor teachers as leaders and followers in school-based contexts in the Republic of Ireland
Authors: Clarke Marie , Killeavy Maureen , Ferris Ruth 
Published: April 2015

Purpose– The purpose of this paper is to exploratory small-scale study is to examine the intertwined leadership and followership aspects of the roles performed by school-based mentors in the Republic of Ireland.Design/methodology/approach– In order to investigate mentor teachers’ perceptions of their role with reference to leadership and followership in their school contexts, a questionnaire was distributed to the full cohort of 56 mentor teachers who participated in the National Programme for Teacher Induction. Semi-structured interviews were also conducted with four mentor teacher facilitators from different regions across Ireland who were also mentors in their respective schools.Findings– The findings from this exploratory small-scale study suggest that the hierarchical nature of the school context influenced mentor teachers’ perceptions of their leadership and followership roles. They regarded themselves as leaders in a general sense and considered that all members of staff had something to contribute to the leadership process in the school. However, the school context moderated their own perceptions about their individual approaches to leadership. Participants in this study were unclear about the term followership and were reluctant to use it. They considered themselves to be performing a supportive role in the hierarchical structure of the school context.Research limitations/implications– As this is an exploratory qualitative study with a small sample size in a country where the role of a mentor teacher in schools is a relatively new concept, the findings should be interpreted with caution. Future research would benefit from multi-method approaches to data collections that examine variations in followership perceptions from individuals prior to becoming mentors in order for comparisons to be made.Practical implications– The practical implications of this study from a management perspective suggest that followership needs to be considered very carefully in school contexts as a way of contributing to the co-construction of leadership which engages all members of staff. It is clear that there is a need to move away from hierarchical interpretations of middle management posts of responsibility. More emphasis should be placed on the ways in which teachers construct their roles within schools as this impacts upon leadership processes and organizational effectiveness. Equally important is an open acknowledgement of the tensions involved in developing such roles and responsibilities.Originality/value– Followership is not researched widely in schools, particularly with reference to the role of mentor teachers. This is an interesting group as the very nature of their work involves maintaining boundaries and managing multiple relationships. They are generally collaborative in their approach and are well placed to co-construct leadership with their colleagues and their principals with appropriate supports in the school context.