bluuebunny/crossref_metadata_2025_split huggingface dataset:
Deconstructing multivariate decoding for the study of brain function
Authors: Hebart Martin N. , Baker Chris I. 
Published: July 2017

AbstractMultivariate decoding methods were developed originally as tools to enable accurate predictions in real-world applications. The realization that these methods can also be employed to study brain function has led to their widespread adoption in the neurosciences. However, prior to the rise of multivariate decoding, the study of brain function was firmly embedded in a statistical philosophy grounded on univariate methods of data analysis. In this way, multivariate decoding for brain interpretation grew out of two established frameworks: multivariate decoding for predictions in real-world applications, and classical univariate analysis based on the study and interpretation of brain activation. We argue that this led to two confusions, one reflecting a mixture of multivariate decoding for prediction or interpretation, and the other a mixture of the conceptual and statistical philosophies underlying multivariate decoding and classical univariate analysis. Here we attempt to systematically disambiguate multivariate decoding for the study of brain function from the frameworks it grew out of. After elaborating these confusions and their consequences, we describe six, often unappreciated, differences between classical univariate analysis and multivariate decoding. We then focus on how the common interpretation of what is signal and noise changes in multivariate decoding. Finally, we use four examples to illustrate where these confusions may impact the interpretation of neuroimaging data. We conclude with a discussion of potential strategies to help resolve these confusions in interpreting multivariate decoding results, including the potential departure from multivariate decoding methods for the study of brain function.HighlightsWe highlight two sources of confusion that affect the interpretation of multivariate decoding resultsOne confusion arises from the dual use of multivariate decoding for predictions in real-world applications and for interpretation in terms of brain functionThe other confusion arises from the different statistical and conceptual frameworks underlying classical univariate analysis to multivariate decodingWe highlight six differences between classical univariate analysis and multivariate decoding and differences in the interpretation of signal and noiseThese confusions are illustrated in four examples revealing assumptions and limitations of multivariate decoding for interpretation
The genetic architecture of recurrent segregation distortion inArabidopsis thaliana
Authors: Seymour Danelle K. , Chae Eunyoung , Ariöz Burak I. , Koenig Daniel , Weigel Detlef 
Published: July 2017

AbstractThe equal probability of transmission of alleles from either parent during sexual reproduction is a central tenet of genetics and evolutionary biology. Yet, there are many cases where this rule is violated. Such violations limit intraspecific gene flow and can facilitate the formation of genetic barriers, a first step in speciation. Biased transmission of alleles, or segregation distortion, can result from a number of biological processes including epistatic interactions between incompatible loci, gametic selection, and meiotic drive. Examples of these phenomena have been identified in many species, implying that they are universal, but comprehensive species-wide studies of segregation distortion are lacking. We have performed a species-wide screen for distorted allele frequencies in over 500 segregating populations ofArabidopsis thalianausing reduced-representation genome sequencing. Biased transmission of alleles was evident in up to a quarter of surveyed populations. Most populations exhibited distortion at only one genomic region, with some regions being repeatedly affected in multiple populations. Our results begin to elucidate the species-level architecture of biased transmission of genetic material inA. thaliana, and serve as a springboard for future studies into the basis of intraspecific genetic barriers.
Self-citations, a trend prevalent across subject disciplines at the global level: an overview
Authors: Pandita Ramesh , Singh Shivendra 
Published: July 2017

Purpose
The present study aims to determine the prevailing trend of self-citations across 27 major subject disciplines at global level. The study also examines the aspects like percentage of self-citations in each individual subject discipline and the average number of self-citations per publication across different subject disciplines. The study also investigates self-citation percentage of research articles published from the 20 leading research countries of the world and across the continents.

Design/methodology/approach
The study is supported by empirical findings undertaken on secondary data retrieved from SCImago Journal and Country Ranking, which is entirely based on the SCOPUS data source (SCImago, 2014).

Findings
In all, 76,634,557 citations were received by as many as 14,946,975 research articles published from 2008-2012 at an average of 5.12 citations per article. Of the total citations received, 26,404,609 (34.45 per cent) were self-citations, which means that of the total citations received by each research article, 1.76 are self-citations. Compared to subject disciplines falling under social and humanistic sciences, pure and applied sciences have shown a greater trend of self-citation. On average, 4.18 self-citations were observed in each research article published in multidisciplinary subject disciplines. Of the total citations received by research articles published in the discipline of Psychology, 43.69 per cent are self-citations, the highest among all the subject disciplines under study. Of the total self-citations received by all the subject disciplines under study, 18.43 per cent were received alone in medicine, highest among all, whereas Social and Humanistic sciences received less than 1.00 per cent self-citations, the lowest among all the subject disciplines.

Originality/value
This study is original and first of its kind covering each individual subject discipline having global scope.
Diversity at work in academic libraries 2010-2015: an annotated bibliography
Authors: Semenza Jenny Lynne , Koury Regina , Shropshire Sandra 
Published: July 2017

Purpose
This paper aims to provide an annotated bibliography of literature on diversity initiatives for 2010-2015 in academic libraries, both in USA and internationally. It aims to help librarians interested in fostering a welcoming and supporting environment for all individuals and engaging library community in discussions about diversity.

Design/methodology/approach
The authors conducted literature review using EBSCOhost multidisciplinary databases and Google Scholar, using the terms “divers*” and “academic librar*” and limiting search results to 2010-2015 dates.

Findings
The literature reviewed in this annotated bibliography is a solid start to assist librarians with diversity initiatives from planning collections to wider organization planning purposes.

Originality/value
No other annotated bibliography currently exists for those interested in conducting vital work of ensuring a respectful and inclusive library environment.
“My leader’s group is my group”. Leader-member exchange and employees’ behaviours
Authors: Khan Muhammad Nawaz , Malik Muhammad Faisal 
Published: July 2017

PurposeThe purpose of this paper is to check the mediating role of work engagement (WE) between leader – member exchange and extra-role behaviours (ERBs) like organizational citizenship behaviour, knowledge sharing behaviour and innovative work behaviour.Design/methodology/approachHypothetical deductive method was used. Longitudinal, time-lagged approach (three times) was used to collect the data using structured questionnaire.FindingsIt has been found that the WE plays its mediating role between leader – member exchange, organizational citizenship behaviour and innovative work behaviour but not for knowledge sharing behaviour.Research limitations/implicationsData related to dependent variables, specifically and for the whole model generally, was collected through self-reported questionnaire, which leads toward self-serving bias at respondents’ end, as exaggeration/manipulation in responses is highly expected. Second mediating role of WE between leader – member exchange and knowledge sharing behaviour has not been proven, but same mediating role has been found in case of organizational citizenship behaviour and innovative work behaviour which is beyond understanding, as all dependent variables are actually different facets of ERBs. Lastly, data for the study variable has been collected from research and development and IT-related organizations only, which can question the generalization of the survey results to other sectors/organizations.Practical implicationsThe study concluded that leader’s exchange plays a vital role for under commands’ ERBs, and WE vitally predicts ERBs; organizational leaders need to pay attention to this part, in Pakistan, being a poor/developing country fulfilling necessary psychological needs can result in better engagement at employees end. Study findings have importance with the view of training, as while conducting training, strategies through which leaders/supervisors may be trained about how they can build good exchange with their subordinates must be incorporated. This study has significance for policy makers, while making policies, as they consider deviant work behaviours as dangerous phenomena, at the same time they need to recognize the importance of ERBs.Originality/valueEarly mechanism of work performance did not cover full range of behaviours, so now it has been changed from fixed tasks written in employee’s job description (in-role) to broader terms (extra-role) due to uncertain and dynamic work requirements. Extra-role behaviours are more important for the organization as compared to in-role performance. So, a pathway of WE has been established through which ERBs can be expected. Current study was an attempt to explore that how leader can play his role in this situation.
Chain coordinators’ strategic leadership and coordination effectiveness
Authors: Akhtar Pervaiz , Kaur Sushil , Punjaisri Khanyapuss 
Published: July 2017

PurposeAlthough suitable leadership is crucial for chain coordinators (chief executive officers (CEOs), managing directors and heads of departments) to achieve the effectiveness of supply chain coordination (operational and social performances contributing to financial performance), the potential caveats in New Zealand-Euro agri-food supply chains are the lack of theoretical as well as empirical investigations that scrutinize the linkages between leadership styles, their interactions and the effectiveness of supply chain coordination. The purpose of this study is therefore to address the above knowledge gap.Design/methodology/approachStructural equation modelling and interaction effects are applied to the data collected from chain coordinators working in the selected New Zealand-Euro agri-food supply chains (dairy, meat, fruits and vegetables).FindingsThe results indicate that participative leadership is more strongly correlated with the effectiveness of supply chain coordination than directive leadership. The directive leadership is also significant, which leads towards the adoption of strategic leadership. Interaction effects further conclude that companies perform better when their chain coordinators apply strategic leadership practices. Moreover, operational (service quality and product quality) and social (trust in and satisfaction with supply chain partners) performances are the key determinants of financial performance (increased sales, profit and market share).Practical implicationsThe results enhance the understanding of chain coordinators and help them to achieve coordination effectiveness among agri-food supply chain partners. Therefore, the study provides practical implications linked with contemporary international agri-food supply chains.Originality/valueThis study provides in-depth analysis to develop a comprehensive theoretical framework, which helps to confirm the complicated linkages between the underlying constructs, with the specific characteristics of New Zealand-Euro agri-food supply chains. Consequently, the results also clarify the earlier ambiguous findings from other industries and countries.
Overcoming challenges in leadership roles – managing large projects with multi or cross culture teams
Authors: Kappagomtula Chandrasekhar Lakshminarasimham 
Published: July 2017

Purpose
Managing the triple constraints of time, cost and scope of the work, to ensure the quality desired by the stake holders, is a daunting task for any project manager. When the teams involved are for accomplishing large-scale projects, spread over different geographic regions and drawn from multi- or cross-cultural background, the task of the project manager becomes even more complicated and complex (Lothar, 2011). The purpose of this paper is to examine some of those challenges as well as the socio-cultural factors’ influence on the outcome of projects.

Design/methodology/approach
An extensive investigative survey in these complex aspects has been undertaken, spanning both in China and in India.

Findings
Some solutions to the leadership role have been found through the intense study and data analysis.

Research limitations/implications
The scope of multicultural and cross-cultural factors and the number of socio-cultural factors affecting such teams spread in diverse parts of the globe is stupendous. However, the study restricted itself to examining only three important socio-cultural factors out of the several, impacting the outcome of multi- or cross-cultural team executed projects.

Practical implications
The study reveals the causal effect of poor performance outcome for large projects when the team comprises multi- or cross cultural personnel. The limitations for the team leader heading such diverse teams are brought out.

Social implications
The study will help the future compositions of cross- or multicultural team projects, to know in advance the sensitive areas where they have to focus to ensure seamless execution of large projects with the help of virtual platforms for face-to-face interactions between the team members and their leader.

Originality/value
The literature available on generic behavioural aspects of multi- or cross-cultural teams is plenty. However, very few empirical studies are available in evaluating the influence of socio-cultural factors affecting such large project teams. This study extensively covers both China and India, which is a unique investigative study of its kind.
Exploring topics related to data mining on Wikipedia
Authors: Wang Yanyan , Zhang Jin 
Published: July 2017

Purpose
Data mining has been a popular research area in the past decades. Many researchers study data-mining theories, methods, applications and trends; however, there are very few studies on data-mining-related topics in social media. This paper aims to explore the topics related to data mining based on the data collected from Wikipedia.

Design/methodology/approach
In total, 402 data-mining-related articles were obtained from Wikipedia. These articles were manually classified into several categories by the coding method. Each category formed an article-term matrix. These matrices were analysed and visualized by the self-organizing map approach. Several clusters were observed in each category. Finally, the topics of these clusters were extracted by content analysis.

Findings
The articles obtained were classified into six categories: applications, foundation and concepts, methodologies, organizations, related fields and topics and technology support. Business, biology and security were the three prominent topics of the applications category. The technologies supporting data mining were software, systems, databases, programming languages and so forth. The general public was more interested in data-mining organizations than the researchers. They also focused on the applications of data mining in business more than in other fields.

Originality/value
This study will help researchers gain insight into the general public’s perceptions of data mining and discover the gap between the general public and themselves. It will assist researchers in finding new techniques and methods which will potentially provide them with new data-mining methods and research topics.
A paper-text perspective
Authors: Wang Hao , Deng Sanhong 
Published: July 2017

Purpose
In the era of Big Data, network digital resources are growing rapidly, especially the short-text resources, such as tweets, comments, messages and so on, are showing a vigorous vitality. This study aims to compare the categories discriminative capacity (CDC) of Chinese language fragments with different granularities and to explore and verify feasibility, rationality and effectiveness of the low-granularity feature, such as Chinese characters in Chinese short-text classification (CSTC).

Design/methodology/approach
This study takes discipline classification of journal articles from CSSCI as a simulation environment. On the basis of sorting out the distribution rules of classification features with various granularities, including keywords, terms and characters, the classification effects accessed by the SVM algorithm are comprehensively compared and evaluated from three angles of using the same experiment samples, testing before and after feature optimization, and introducing external data.

Findings
The granularity of a classification feature has an important impact on CSTC. In general, the larger the granularity is, the better the classification result is, and vice versa. However, a low-granularity feature is also feasible, and its CDC could be improved by reasonable weight setting, even exceeding a high-granularity feature if synthetically considering classification precision, computational complexity and text coverage.

Originality/value
This is the first study to propose that Chinese characters are more suitable as descriptive features in CSTC than terms and keywords and to demonstrate that CDC of Chinese character features could be strengthened by mixing frequency and position as weight.
Measuring global research activities using geographic data of scholarly article visits
Authors: Fang Zhichao , Guo Xinhui , Yang Yang , Yang Zhongkai , Li Qingchun , Hu Zhigang , Wang Xianwen 
Published: July 2017

PurposeThis study aims to analyse the geographical distribution of global research activities and to investigate the knowledge diffusion embodied in scientific papers.Design/methodology/approachThe geographical summary ofFrontiersarticles displays the number of visits and categorizes where the visitors hail from. This study uses the records of 23,798 articles published in 16Frontiersjournals from 2007 to 2015 to analyse the geographical distribution of article visits at both country and city levels. The process of knowledge diffusion is investigated on the basis of the different visiting patterns of new and old papers.FindingsMost article visits are concentrated around major metropolitan areas and some high-tech clusters. The top “visiting countries” include both developed countries and developing countries, and the USA and China are two major players. Publishing cities dominate article visits for new papers; as time passes, there is diffusion from the publishing cities to a broader area.Research limitations/implicationsThe data on visiting for open access articles may be generated from various repositories besides the publishers’ websites; these data are ignored, as they are not significant enough to have much influence. There is also a lack of a basic theory in the data processing of outliers in the data set. In addition, only static results are given in this paper, as the data were collected on one day, for one time. A longer time period is necessary to track the dynamic diffusion process of the observations.Practical implicationsIntroduction of usage data will propose a novel way to analyse research activities and track knowledge diffusion.Social implicationsThe visiting data of articles offer a new way to investigate research activities at the city level in a detailed and timely manner, for the geographical distribution of research activities and the research resource allocation of a specific country to be explored.Originality/valueThis study measured the research activities of scientific papers by examining the usage data. Compared with previous studies that focused on the geographical distribution of scientific activities using publication data, citation data and even altmetrics data, usage data are at the forefront of this research. Therefore, usage data offer a fresh perspective on methodology, providing more detailed and real-time information.
The role of academic libraries in research data service (RDS) provision
Authors: Yu Holly H. 
Published: July 2017

Purpose
Propelled by fast-evolving computational technology and cloud-based data storage, the increasing ease in research data collection is outstripping the capacity in research data service (RDS) in academic institutions. To illustrate the challenges and opportunities in providing RDS, the author provides a systematic review of the RDS offered in academic institutions and libraries by combining existing literature and survey data collected from the Association of Research Libraries (ARL) and the Association of College and Research Libraries (ACRL). In addition, the RDS websites of 2013 ARL survey-participating institutions are also examined. The aim of the paper is to provide an environmental scan of the current state of RDS provision in academic institutions, to add to the body of knowledge of RDS development, and to inform and enable academic libraries to make strategic RDS plans.

Design/methodology/approach
The paper analyzes the strategies used and levels of RDS provided by reviewing recent literature, exploiting existing survey data from ARL and ACRL, and examining RDS websites of the 2013 ARL survey-participating institutions, in areas that reflect the life cycle of RDS provision including research data management planning, metadata consultation and tool provision, data archiving, institutional repository provision and data sharing and access.

Findings
The overall offerings of the library-led research data services in ARL research-intensive institutions have shown signs of increasing. Increased engagement and expanded scope and level of services are two noticeable trends in academic library RDS provision. Academic libraries are taking advantage of open access repositories by advising researchers to use the available resources alongside their local repositories for data safe-keeping and sharing. Discussions on RDS policy and infrastructure development are inadequate or largely non-existent.

Originality/value
Through systematically reviewing current literature, drawing on the results of available surveys on RDS offerings by academic libraries conducted between 2009 and 2014 and examining and further reviewing the websites of these 2013 ARL survey-participating institutions, the author presents the current state of academic library activities in RDS provision, and provides a critical evaluation of the scope and level of services currently being offered in academic libraries, and the opportunities in RDS development, to add to the body of knowledge of RDS provision by academic institutions.