bluuebunny/crossref_metadata_2025_split huggingface dataset:
Subgraphs of functional brain networks identify dynamical constraints of cognitive control
Authors: Khambhati Ankit N. , Medaglia John D. , Karuza Elisabeth A. , Thompson-Schill Sharon L. , Bassett Danielle S. 
Published: June 2017

AbstractBrain anatomy and physiology support the human ability to navigate a complex space of perceptions and actions. To maneuver across an ever-changing landscape of mental states, the brain invokes cognitive control – a set of dynamic processes that engage and disengage different sets of brain regions to modulate attention, switch between tasks, and inhibit prepotent responses. Current theory suggests that cooperative and competitive interactions between brain areas may mediate processes of network reorganization that support transitions between dynamical states. In this study, we used a quantitative approach to identify distinct topological states of functional interactions and examine how their expression relates to cognitive control processes and behavior. In particular, we acquired fMRI BOLD signal in twenty–eight healthy subjects as they performed two cognitive control tasks – a local-global perception switching task using Navon figures and a Stroop interference task – each with low cognitive control demand and high cognitive control demand conditions. Based on these data, we constructed dynamic functional brain networks and used a parts-based network decomposition technique called non-negative matrix factorization to identify putative cognitive control subgraphs whose temporal expression captured key dynamical states involved in control processes. Our results demonstrate that the temporal expression of these functional subgraphs reflect cognitive demands and are associated with individual differences in task-based performance. These findings offer insight into how coordinated changes in the cooperative and competitive roles of distributed brain networks map trajectories between cognitively demanding brain states.
Phenolic glycolipid facilitates mycobacterial escape from a microbicidal population of tissue-resident macrophages
Authors: Cambier C.J. , O’Leary Seónadh M. , O’Sullivan Mary P. , Keane Joseph , Ramakrishnan Lalita 
Published: June 2017

SUMMARYMycobacterium tuberculosisenters the host in aerosol droplets deposited in lung alveoli where the bacteria first encounter lung-resident alveolar macrophages. We studied the earliest mycobacterium-macrophage interactions in the optically transparent zebrafish. We find that the first-responding resident macrophages can phagocytose and eradicate infecting mycobacteria. So, to establish a successful infection, mycobacteria must escape out of the initial resident macrophage into growth-permissive monocytes. We define a critical role for the membrane phenolic glycolipid (PGL) in engineering this transition to a permissive niche. PGL activates the STING cytosolic sensing pathway, thereby inducing the chemokine CCL2 that recruits permissive peripheral monocytes. The bacteria then transfer from resident macrophage to recruited monocyte via transient fusion of the two immune cells. We show that interrupting this bacterial strategy so as to prolong the mycobacterial sojourn in resident macrophages promotes clearing of infection. Because PGL-dependent CCL2 induction is conserved in human alveolar macrophages, our findings suggest the potential of immunological or pharmacological PGL-blocking interventions to prevent tuberculosis.
Assessing the impact of demographic variables on mentoring-managerial effectiveness relationship
Authors: Madan Poornima , Srivastava Shalini 
Published: June 2017

PurposeThe purpose of this study is to examine the relationship between mentoring, managerial effectiveness and demographic variables. Being in a mentoring relationship offers a low-cost experiential learning, encourages diversity and inclusion, helps in expanding professional associations and boosts engagement. The use of mentoring programs can achieve this to a larger extent by making managers effective.

Design/methodology/approachThe study was administered on 350 middle-level managers, representatives of five private sector banks in Delhi/NCR. Variables in the study were assessed using validated instruments. Descriptive statistics, t-test, correlation and hierarchical regression were used for data analysis.

FindingsThe study depicts that mentoring has a positive and significant impact on managerial effectiveness. The research contributed in establishing that the demographic variables (gender and marital status) positively moderate the relationship between mentoring and managerial effectiveness.

Research limitations/implicationsAlthough the knowledge base and skillfulness of the young mangers are taken care by the way of organizational training, mentoring relationships complement it with added focus on personal directions to deal with minutiae of organizational processes. Mentors provide a critical linkage to an organization’s competitive advantage by helping expanding connections and networks of employees, and thereby, enhancing productivity which directly affects profitability. Managers and policymakers should chart out the mentoring plans, keeping in perspective the demographic variables, specially the gender of the mentee and the marital status.

Originality/valueThis is a pioneer study contributing to the present reserve of knowledge and understanding of the subject by contextualizing the impact of demographic variables on mentoring and managerial effectiveness in Indian private sector banks.
Simulation-based analysis of a supplier-manufacturer relationship in lean supply chains
Authors: Frazzon Enzo , Tortorella Guilherme Luz , Dávalos Ricardo , Holtz Tulio , Coelho Leandro 
Published: June 2017

Purpose
This paper aims to analyze a conceptual framework of supplier-manufacturer relationship in a lean supply chain environment, which considers two different configurations for the integration of information and material flows, aiming to better understand the applicability of such kind of approach to realistic cases.

Design/methodology/approach
Two different configurations for the integration of transport and material flows will be comparatively simulated and tested, aiming to better understand scientific implications and the applicability of such kind of approach to realistic cases in terms of performance of delivery service level and lead time.

Findings
The findings indicate that the conceptual model provides a framework to define threshold values of production variability to support the decision-making process regarding finished goods lean strategy. Furthermore, as the conceptual model considers as inputs the process variability of both supplier and customer’s production rates, it allows for the verification of the influence of supplier’s efficiency in the inventory sizing adopted in each case.

Originality/value
This study contributes to the body of literature on lean supply chain by proposing a simulation-based model that analyzes two different theoretical scenarios enabling the assessment of trade-offs among delivery service level, inventory strategy and production stability. This analysis provides theoretical arguments that may be extrapolated to real case situations, and considered other sources of instability that can impact the performance.
Attitudes toward supplier integration: the USA vs China
Authors: Yang Yang S. , Kull Thomas J. , Nahm Abraham Y. , Li Benbo 
Published: June 2017

PurposeStudies show the benefits of supplier integration, yet negative attitudes toward supplier integration exist that research fails to explain. The purpose of this paper is to investigate managerial attitudes toward supplier integration and how intra-firm processes and culture affect the formation of such attitudes. In particular, the paper aims to examine the differing influences between the USA and China.Design/methodology/approachUsing multi-group structural equation modeling, the authors re-analyzed the data collected by Nahmet al.(2004) and Liet al.(2014) comprised of responses from 224 US and 117 Chinese manufacturing managers.FindingsThe study finds that managerial attitudes toward supplier integration depend on the degree to which a collaborative organizational culture and synchronous manufacturing practices exist within a firm. Moreover, in the Chinese context, the influence of a collaborative organizational culture is lower than the influence of synchronous manufacturing practices. The opposite is found in the US context.Practical implicationsThe results suggest that overcoming negative attitudes of supplier integration requires more than simply espousing the benefits of supplier integration; looking deeper into an organization’s internal characteristics and situational context is required. In particular, if the country context already emphasizes the collaborative culture, the organization should focus on synchronous manufacturing practices in order to form a positive attitude toward supplier integration.Originality/valueThis paper is the first to examine how managerial attitudes toward supplier integration are formed. The work is novel because the authors suggest that the formation of managerial attitudes toward supplier integration inter-firm management can be affected by intra-firm management in the minds of managers, which are influenced by country contexts.
Institutional explanations
Authors: Turkulainen Virpi , Kauppi Katri , Nermes Emma 
Published: June 2017

PurposeWhile classical operations strategy research argues that manufacturing organizations should be managed in line with the operational strategic priorities, recent studies have brought up potential institutional explanations for adoption of various managerial practices, including supply chain management practices. The key point in the institutional argument is that organizations are especially affected by other organizations; imitation and isomorphism are a critical part of organizational behavior. The purpose of this paper is to empirically test the institutional argument in explaining the use of supplier integration mechanisms – one of the focal management practices in today’s organizations.Design/methodology/approachThe authors assess empirically the extent to which various economic institutional factors explain the use of supplier integration mechanisms in manufacturing plants with a multi-country and multi-industry survey sample.FindingsThe results indicate that institutional explanations play a significant role in explaining supplier integration. The findings suggest that further emphasis on building research around the institutional argument in various areas of supply chain and operations management is important.Originality/valueAs research on supply chain integration – including supplier integration – has focused on its performance implications, more research on the antecedents to integration is needed. This study provides a test of institutional theory as an antecedent to supplier integration.
Global cities, Tokyo, urban tourism
Authors: Henderson Joan 
Published: June 2017

Purpose
The purpose of this paper is to explore the relationship between global cities and international tourism with particular reference to the recent experiences of Tokyo which has recently seen a marked increase in arrivals. It addresses questions of the standing of Tokyo as a global city and tourist destination, how the two functions are connected and why changes are occurring.

Design/methodology/approach
The methodology employed is that of an empirical case study based on the analysis of published materials drawn from a diversity of sources.

Findings
The defining characteristics of global cities are generally conducive to their function as international tourist destinations. They possess a wealth of tourism resources and amenities which facilitate inbound tourist flows. Tokyo is a prominent example of a global city, but has tended to attract fewer visitors than others in that category. The recent significant growth in arrivals is attributed to changes in the tourism industry and wider environment, yet some challenges remain before it can catch up with its counterparts.

Originality/value
Fresh insights are afforded into the implications of global city status for tourism and the development of Tokyo as a destination which tends to have been neglected in the literature.
Knowledge reuse through electronic knowledge repositories: a multi theoretical study
Authors: Chhim Peter P. , Somers Toni M. , Chinnam Ratna Babu 
Published: June 2017

PurposeThis study provides insight into factors surrounding knowledge reuse through electronic knowledge repositories (EKR).Design/methodology/approachA multi-theoretical framework is proposed that views knowledge reuse from both socio-technical and expectation confirmation model perspectives. Survey data are used to test associated hypotheses derived from the literature.FindingsResults confirm the explanatory power of this approach to predict greater knowledge reuse and greater continuance of use.Research limitations/implicationsResults suggest social and technical factors modelled interdependently affect knowledge reuse and lead to greater performance, knowledge sharing and continuance of use.Practical implicationsPractical and managerial recommendations for enhancing enablers of knowledge reuse via EKR are offered.Originality/valueThis study models enablers to knowledge reuse and resulting downstream effects on organizational outcomes. It provides an original framework for studying knowledge reuse within an EKR or knowledge management system perspective.
Demographic differences in using knowledge creation tools among faculty members
Authors: Kaba Abdoulaye , Ramaiah Chennupati K. 
Published: June 2017

Purpose
The purpose of this study is to investigate and analyze demographic differences in using knowledge creation tools among faculty members. It also attempts to identify the most knowledge creation tool used by the participants. The tools comprised of 13 items including data mining, metadata, classifications, expert profiling, Mashup and blogs.

Design/methodology/approach
Data were collected through an online survey questionnaire. A total of 300 faculty members from 26 universities and colleges accredited by the UAE Ministry of High Education participated in the study. The t-test and analysis of variance (ANOVA) test are used to validate the stated hypotheses.

Findings
The study found personal knowledge management to be the most used knowledge creation tool among the faculty members, followed by authoring tools and templates. Findings of the study indicate statistically no significant difference in using knowledge creation tools with respect to gender, qualification, academic rank, teaching experience and institutional affiliation. These findings support the stated null hypotheses (H1, H3, H4, H6 and H8) and suggest that the use of knowledge creation tools is independent from these variables. However, the results showed statistically a significant age group difference, academic specialization and research experience in using knowledge creation tools. The findings reject the assumed hypotheses (H2, H5 and H7) and suggest the impact of these variables on the use of knowledge creation tools.

Research limitations/implications
The paper is based on the data collected through a survey questionnaire. Future studies may combine quantitative and qualitative data collection methods for the purpose of comparison and in-depth analysis.

Practical implications
Findings could be an important reference for knowledge management officers and knowledge intensive organizations and institutions to develop knowledge creation tools and promote usage among knowledge workers.

Originality/value
The paper represents one of the very few empirical studies conducted on the use of knowledge creation tools. Findings of the study may contribute to the process of knowledge creation among faculty members and also to the improvement of knowledge management in the academic environment and other knowledge organizations.
Top 10 data mining techniques in business applications: a brief survey
Authors: Lin Wei-Chao , Ke Shih-Wen , Tsai Chih-Fong 
Published: June 2017

Purpose
Data mining is widely considered necessary in many business applications for effective decision-making. The importance of business data mining is reflected by the existence of numerous surveys in the literature focusing on the investigation of related works using data mining techniques for solving specific business problems. The purpose of this paper is to answer the following question: What are the widely used data mining techniques in business applications?

Design/methodology/approach
The aim of this paper is to examine related surveys in the literature and thus to identify the frequently applied data mining techniques. To ensure the recent relevance and quality of the conclusions, the criterion for selecting related studies are that the works be published in reputed journals within the past 10 years.

Findings
There are 33 different data mining techniques employed in eight different application areas. Most of them are supervised learning techniques and the application area where such techniques are most often seen is bankruptcy prediction, followed by the areas of customer relationship management, fraud detection, intrusion detection and recommender systems. Furthermore, the widely used ten data mining techniques for business applications are the decision tree (including C4.5 decision tree and classification and regression tree), genetic algorithm, k-nearest neighbor, multilayer perceptron neural network, naïve Bayes and support vector machine as the supervised learning techniques and association rule, expectation maximization and k-means as the unsupervised learning techniques.

Originality/value
The originality of this paper is to survey the recent 10 years of related survey and review articles about data mining in business applications to identify the most popular techniques.
Comparative performance studies on DI diesel engine with neem de-oiled cake and Jatropha methyl ester diesel blends
Authors: S. Sendilvelan , K. Bhaskar 
Published: June 2017

Purpose
Alternative sources for petroleum fuels have been the prime concern of most of the environmentalists. It is also a concern for economists due to the depletable nature of the fossil fuel. Vegetable oils are considered as good alternatives to diesel as their properties are close to diesel. This work aimed to produce a fuel by adding different proportions of de-oiled neem cake with diesel and to conduct experiments to find out its performance, emission and combustion characteristics.

Design/methodology/approach
At present, biodiesel is commercially produced from the vegetable oils by esterification processes. Because most of these oils are edible, its cost restricts the usage. The de-oiled cakes after crushing the seeds containing around 2 per cent of oil with less fatty materials are aimed in this study.

Findings
The fuel is prepared by adding dry neem de-oiled cake powder at different proportions ranging from 3 to 25 per cent by weight with diesel. Experimental results reveal that the fuel has the potential to reduce smoke, CO emissions simultaneously along with marginal increase in brake thermal efficiency.

Originality/value
In this published research work, the neem oil is used as biodiesel blends with diesel. Here, the authors have used neem de-oiled cake as a replacement for diesel.
Video data image retrieval using – BRICH
Authors: Devaraj Saravanan 
Published: June 2017

Purpose
Data mining is the process of detecting knowledge from a given huge data set. Among the data set, multimedia is the data which contains diverse data such as audio, video, image, text and motion. In this growing field of video data, mining the video data plays vital role in the field of video data mining. In video data mining, video data are grouped into frames. In this vast amount of video frames, the fast retrieval of needed information is important one. This paper aims to propose a Birch-based clustering method for content-based image retrieval.

Design/methodology/approach
In image retrieval system, image segmentation plays a very important role. A text file, normally, is divided into sections, that is, piece, sentences, word and character for this information which are organized and indexed effectively like in a video, the information is dynamic in nature and this information is converted to static for easy retrieval. For this, video files are divided into a number of frames or segments. After the segmentation process, images are trained for retrieval process, and from these, unwanted images are removed from the data set. The noise or unwanted image removal pseudo-code is shown below. In the code image, pixel value represents the value of the difference between the two adjacent image pixel values. By assuming a threshold for the image value, the duplicate images are found. After finding the duplicate image, it is removed from the data set. Clustering is used in many applications as a stand-alone tool to get insight into data distribution and as a pre-processing step for other algorithms (Ester et al., 1996). Specifically, it is used in pattern recognition, spatial data analysis, image processing, economic science document classification, etc. Hierarchical clustering algorithms are classified as agglomerative or divisive. BRICH uses clustering attribute (CA) and clustering feature hierarchy (CA_Hierarchy) for the formation of clusters. It perform multidimensional data objects. Every BRICH algorithm based on the memory-oriented information, that is, memory constrains, is involved in the processing of the data sets. This information is represented in Figures 6-10. For forming clusters, they use the amount of object in the cluster (A), the sum of all points in the data set (S) and need the square value of the all objects (P).

Findings
The proposed technique brings an effective result for cluster formation.

Originality/value
BRICH uses a novel approach to model the degree of inter-connectivity and closeness between each pair of clusters that takes into account the internal characteristics of the clusters themselves.