bluuebunny/crossref_metadata_2025_split huggingface dataset:
A comparison of automated lesion segmentation approaches for chronic stroke T1-weighted MRI data
Authors: Ito Kaori L. , Kim Hosung , Liew Sook-Lei 
Published: October 2018

AbstractAccurate stroke lesion segmentation is a critical step in the neuroimaging processing pipeline to assess the relationship between post-stroke brain structure, function, and behavior. While many multimodal segmentation algorithms have been developed for acute stroke neuroimaging, few are effective with only a single T1-weighted (T1w) anatomical MRI. This is a critical gap because most stroke rehabilitation research relies on a single T1w MRI for defining the lesion. Although several attempts to automate the segmentation of chronic lesions on single-channel T1w MRI have been made, these approaches have not been systematically evaluated on a large dataset. Here, we performed an exhaustive review of the literature and identified one semi- and three fully automated approaches for segmentation of chronic stroke lesions using T1w MRI within the last ten years: Clusterize, Automated Lesion Identification, Gaussian naïve Bayes lesion detection, and LINDA. We evaluated each method on a large T1w stroke dataset (N=181) using visual and quantitative methods. LINDA was the most computationally expensive approach, but performed best across the three main evaluation metrics (median values: Dice Coefficient=0.50, Hausdorff’s Distance=36.34 mm, and Average Symmetric Surface Distance = 4.97 mm), whereas the Gaussian Bayes method had the highest recall/least false negatives (median=0.80). Segmentation accuracy in all automated methods were influenced by size (small: worst) and stroke territory (brainstem, cerebellum: worst) of the lesion. To facilitate reproducible science, we have made our analysis files publicly available online at https://github.com/npnl/elsa. We hope these findings are informative to future development of T1w lesion segmentation algorithms.
Gas turbine gas-path fault identification using nested artificial neural networks
Authors: Fentaye Amare D. , Baheta Aklilu T. , Gilani Syed Ihtsham Ul-Haq 
Published: October 2018

Purpose
The purpose of this paper is to present a quantitative fault diagnostic technique for a two-shaft gas turbine engine applications.

Design/methodology/approach
Nested artificial neural networks (NANNs) were used to estimate the progressive deterioration of single and multiple gas-path components in terms of mass flow rate and isentropic efficiency indices. The data required to train and test this method are attained from a thermodynamic model of the engine under steady-state conditions. To evaluate the tolerance of the method against measurement uncertainties, Gaussian noise values were considered.

Findings
The test results revealed that this proposed method is capable of quantifying single, double and triple component faults with a sufficiently high degree of accuracy. Moreover, the authors confirmed that NANNs have derivable advantages over the single structure-based methods available in the public domain, particularly over those designed to perform single and multiple faults together.

Practical implications
This method can be used to assess engine’s health status to schedule its maintenance.

Originality/value
For complicated gas turbine diagnostic problems, the conventional single artificial neural network (ANN) structure-based fault diagnostic technique may not be enough to get robust and accurate results. The diagnostic task can rather be better done if it is divided and shared with multiple neural network structures. The authors thus used seven decentralized ANN structures to assess seven different component fault scenarios, which enhances the fault identification accuracy significantly.
Consumer supply-chain demands and challenges at farmers’ markets
Authors: Garner Benjamin , Ayala Cesar 
Published: October 2018

Purpose
The purpose of this paper is to examine consumer demands for local foods at a farmers’ market. This includes examining both what products consumers want more of at the market and also what factors influence consumers’ attendance for a weekday farmers’ market.

Design/methodology/approach
This study was based on open-ended comments from a market survey of 270 participants in a farmers’ market in the USA.

Findings
This study revealed that consumers want more products at the farmers’ market that require significant resources and time to grow, such as meat and fruit. Consumers reported that they would be more likely to attend a weekday market if it had better hours of operation and better selection. Consumer comments also revealed that consumers often perceive the market to run out of products and not have the full supply that they want to purchase.

Research limitations/implications
This research represents qualitative insights at one farmers’ market in the USA. While there are observations that may transfer to other markets, caution should be used when generalizing these findings.

Practical implications
This research is informative for farmers in providing them a list of consumer demands and also highlights the ways farmers need to make their market convenient to consumer work and life patterns.

Originality/value
This work adds value to the literature by expanding our understanding of specific foods customers see as limited in the farmers’ market, and it also provides much needed information regarding consumer behavior and weekday market attendance, which is not discussed as often in the literature.
Homoclinic breather waves, rogue waves and solitary waves for a (3 + 1)-dimensional generalized Kadomtsev–Petviashvili equation
Authors: Feng Lian-Li , Zhang Tian-Tian 
Published: October 2018

PurposeThe purpose of this paper is to find homoclinic breather waves, rogue waves and soliton waves for a (3 + 1)-dimensional generalized Kadomtsev–Petviashvili (gKP) equation, which can be used to describe the propagation of weakly nonlinear dispersive long waves on the surface of a fluid.Design/methodology/approachThe authors apply the extended Bell polynomial approach, Hirota’s bilinear method and the homoclinic test technique to find the rogue waves, homoclinic breather waves and soliton waves of the (3 + 1)-dimensional gKP equation.FindingsThe results imply that the gKP equation admits rogue waves, homoclinic breather waves and soliton waves. Moreover, the authors also find that rogue waves can come from the extreme behavior of the breather solitary wave. The authors analyze the propagation and interaction properties of these solutions to better understand the dynamic behavior of these solutions.Originality/valueThese results may help us to further study the local structure and the interaction of waves in KP-type equations. It is hoped that the results can help enrich the dynamic behavior of such equations.
Unsteady MHD boundary layer flow of tangent hyperbolic two-phase nanofluid of moving stretched porous wedge
Authors: Mahdy A. , Chamkha Ali J. 
Published: October 2018

Purpose
The purpose of this paper is to address the thermo-physical impacts of unsteady magneto-hydrodynamic (MHD) boundary layer flow of non-Newtonian tangent hyperbolic nanofluid past a moving stretching wedge. To delineate the nanofluid, the boundary conditions for normal fluxes of the nanoparticle volume fraction are chosen to be vanish.

Design/methodology/approach
The local similarity transformation is implemented to reformulate the governing PDEs into coupled non-linear ODEs of higher order. Then, numerical solution is obtained for the simplified governing equations with the aid of finite difference technique.

Findings
Numerical calculations point out that pressure gradient parameter leads to improve all skin friction coefficient, rate of heat transfer and absolute value of rate of nanoparticle concentration. As well as, lager values of Weissenberg number tend to upgrade the skin friction coefficient, while power law index and velocity ratio parameter reduce the skin friction coefficient. Again, the horizontal velocity component enhances with upgrading power law index, unsteadiness parameter, velocity ratio parameter and Darcy number and it reduces with rising values of Weissenberg number.

Originality/value
A numerical treatment of unsteady MHD boundary layer flow of tangent hyperbolic nanofluid past a moving stretched wedge is obtained. The problem is original.
Maturing the lean capability of front-line operations supervisors
Authors: Sisson Julie A. 
Published: October 2018

PurposeResearch has shown that one of the reasons lean transformations fail is inadequate lean knowledge of supervisors. The purpose of this paper is to discuss the development of a lean training program for front-line manufacturing supervisors to provide them with the knowledge needed to engage their teams in daily continuous improvement.Design/methodology/approachA literature review was conducted on best practices in training design for positive transfer. Action research using qualitative methodologies was used to develop and pilot a new lean leadership training program for supervisors at one site within a case study company. The pilot was evaluated and continuously improved for future waves of training, consistent with action research, lean philosophies and training best practices.FindingsEmployee engagement has dramatically increased since the training class began and the number of lean improvements implemented in Operations at the case study company has increased 160 per cent. Manufacturing lead-time has also been reduced by more than 30 per cent. Because of the positive results from the training, it has been expanded at the pilot site and spread to other sites within the case study company.Research limitations/implicationsAs with any case study, one must take care when attempting to generalize findings beyond the case being examined. However, the pilot training program was successfully extended to several sites across different business segments of the case study company, increasing the likelihood that similar results may apply in other cases.Originality/valueThe case provides empirical evidence of the development of an effective training program to mature the lean capability of supervisors. Other companies seeking to provide training to develop front-line lean leaders can benefit from the lessons learned from the case study.
Lessons from nearly a century of the brand management system
Authors: Aimé Isabelle , Berger-Remy Fabienne , Laporte Marie-Eve 
Published: October 2018

PurposeThe purpose of this study is to perform a historical analysis of the brand management system (BMS) to understand why and how, over the past century, the BMS has become the dominant marketing organizational model across Western countries and sectors and what the lessons can be learned from history to enlighten its current changes in today’s digitized environment.Design/methodology/approachBuilding on Low and Fullerton’s work (1994), the paper traces the evolution of the BMS from its creation in the 1930s to the recent digital era. Data from various sources – research papers, historical business books, case studies, newspaper articles and internal documents – are analyzed to inform an intellectual historical analysis of the BMS’s development.FindingsThe paper uses the prism of institutional isomorphism to highlight four distinct periods that show that the BMS has gradually imposed itself on the Western world and managed to adapt to an ever-changing environment. Moreover, it shows that in the current digital age, the BMS is now torn between two opposing directions: the brand manager should act as both absolute expert and galvanic facilitator and the BMS needs to reinvent itself once again.Originality/valueThis paper provides a broad perspective on the BMS function to help marketing scholars, historians and practitioners gain a better understanding of the issues currently facing the BMS and its relevance in the digital age.
Correlational analysis of topic specificity and citations count of publication venues
Authors: Daud Ali , Amjad Tehmina , Siddiqui Muazzam Ahmed , Aljohani Naif Radi , Abbasi Rabeeh Ayaz , Aslam Muhammad Ahtisham 
Published: October 2018

Purpose
Citation analysis is an important measure for the assessment of quality and impact of academic entities (authors, papers and publication venues) used for ranking of research articles, authors and publication venues. It is a common observation that high-level publication venues, with few exceptions (Nature, Science and PLOS ONE), are usually topic specific. The purpose of this paper is to investigate the claim correlation analysis between topic specificity and citation count of different types of publication venues (journals, conferences and workshops).

Design/methodology/approach
The topic specificity was calculated using the information theoretic measure of entropy (which tells us about the disorder of the system). The authors computed the entropy of the titles of the papers published in each venue type to investigate their topic specificity.

Findings
It was observed that venues usually with higher citations (high-level publication venues) have low entropy and venues with lesser citations (not-high-level publication venues) have high entropy. Low entropy means less disorder and more specific to topic and vice versa. The input data considered here were DBLP-V7 data set for the last 10 years. Experimental analysis shows that topic specificity and citation count of publication venues are negatively correlated to each other.

Originality/value
This paper is the first attempt to discover correlation between topic sensitivity and citation counts of publication venues. It also used topic specificity as a feature to rank academic entities.
Characteristics of cereal flakes manufactured using date syrup in place of sugar
Authors: Aljobair Moneera Othman 
Published: October 2018

Purpose
The purpose of this study was to investigate the sensory properties and chemical composition of corn and sorghum flakes manufactured using 25, 50, 75 and 100 per cent date syrup (DS), instead of sugar.

Design/methodology/approach
Ten individuals assessed the overall acceptability, taste, texture and aroma of flakes. The chemical composition of each type of flake was determined, and these characteristics compared with those of control corn and sorghum flakes (without DS).

Findings
The overall acceptability of sorghum flakes ranged from 6.3 (100 per cent DS flakes) to 6.8 (25 per cent DS flakes); however, the difference was not significant. Values for taste, texture and aroma of sorghum flakes ranged from 5.3 (taste of 100 per cent DS flakes) to 7.2 (texture of 25 per cent DS flakes). For corn flakes, values ranged from 6.20 (aroma of 100 per cent DS flakes) to 7.20 (texture of 25 per cent DS flakes). For both sorghum and corn, the colors of 25-100 per cent DS flakes were significantly different from controls (p = 0.0002). The total carbohydrate, fat, protein and ash contents were 81.669 per cent, 1.545 per cent, 13.27 per cent and 3.52 per cent for corn flour, and 83.38-85.78 per cent, 1.7-2.0 per cent, 10.02-12.13 per cent and 2.36-3.92 per cent for sorghum flour, respectively. The total carbohydrate, fat, protein and ash contents were 81.63 per cent, 5.75 per cent, 9.80 per cent and 2.82 per cent for corn, and 86.31-84.99 per cent, 3.15-4.27 per cent, 7.64-7.94 per cent and 2.92-2.79 per cent for sorghum flakes, respectively.

Originality/value
Corn and sorghum flakes produced with DS are acceptable to consumers, and their nutrient values indicate potential health benefits.
What the fake? Assessing the extent of networked political spamming and bots in the propagation of #fakenews on Twitter
Authors: Al-Rawi Ahmed , Groshek Jacob , Zhang Li 
Published: October 2018

PurposeThe purpose of this paper is to examine one of the largest data sets on the hashtag use of #fakenews that comprises over 14m tweets sent by more than 2.4m users.Design/methodology/approachTweets referencing the hashtag (#fakenews) were collected for a period of over one year from January 3 to May 7 of 2018. Bot detection tools were employed, and the most retweeted posts, most mentions and most hashtags as well as the top 50 most active users in terms of the frequency of their tweets were analyzed.FindingsThe majority of the top 50 Twitter users are more likely to be automated bots, while certain users’ posts like that are sent by President Donald Trump dominate the most retweeted posts that always associate mainstream media with fake news. The most used words and hashtags show that major news organizations are frequently referenced with a focus on CNN that is often mentioned in negative ways.Research limitations/implicationsThe research study is limited to the examination of Twitter data, while ethnographic methods like interviews or surveys are further needed to complement these findings. Though the data reported here do not prove direct effects, the implications of the research provide a vital framework for assessing and diagnosing the networked spammers and main actors that have been pivotal in shaping discourses around fake news on social media. These discourses, which are sometimes assisted by bots, can create a potential influence on audiences and their trust in mainstream media and understanding of what fake news is.Originality/valueThis paper offers results on one of the first empirical research studies on the propagation of fake news discourse on social media by shedding light on the most active Twitter users who discuss and mention the term “#fakenews” in connection to other news organizations, parties and related figures.
Biodiversity reporting and organised hypocrisy
Authors: Maroun Warren , Usher Kieran , Mansoor Hafsa 
Published: October 2018

PurposeThis study aims to examine biodiversity reporting by South African food producers and retailers. It not only draws attention to the disconnect between reporting on an important environmental issue and the sense of commitment to environmental responsibility, but also shows that over time, organisations are becoming more proactive about biodiversity reporting.Design/methodology/approachThe research uses a content analysis of sustainability and integrated reports and organised hypocrisy as a theoretical framework for analysing biodiversity-related disclosures.FindingsConsistent with an organised hypocrisy framework, the research finds that the several companies rely on corporate reporting to emphasise actions and internal management strategies that are already producing favourable results. In contrast, mission statements, firm policy commitments and forward-looking analysis are avoided. There is, however, evidence to suggest that the gaps between corporate reporting and action may be giving companies the time to reform their practices, align biodiversity disclosures with genuine corporate action and move towards truly integrated business models.Research limitations/implicationsPoor biodiversity reporting raises questions about the extent to which companies are managing serious environmental issues that can have a direct impact on their business models. Improvements in biodiversity reporting also suggest that corporate reporting is maturing and that some organisations are beginning to understand the need for managing their biodiversity impact.Originality/valueThe paper offers empirical evidence on how the disconnect between organisational rhetoric and action is used to manage stakeholder expectations and negate the need for environmental reforms. In this manner, organised hypocrisy is framed as a specific legitimisation strategy. The research also shows that organised hypocrisy is not absolute; despite the opportunity to engage in organised hypocrisy, some companies are taking a more proactive approach to biodiversity reporting. As a result, it may be appropriate to see organised hypocrisy as part of a transition to higher quality integrated or sustainability reporting.
In‐situ microbially induced Ca2+‐alginate polymeric sealant for seepage control in porous materials
Authors: Cheng Liang , Yang Yang , Chu Jian 
Published: October 2018

SummaryThis paper presents a novel approach of using in‐situ microbially induced Ca2+‐alginate polymeric sealant for seepage control in porous materials. This process comprises two steps: (i) generation of insoluble calcium carbonate inside the pores of porous materials (such as sand) through a microbially induced carbonate precipitation (MICP) process in‐situ and (ii) injection of sodium alginate for in‐situ gelation via reaction between alginate and Ca2+ ions. The experimental results showed that the hydraulic conductivity/permeability of sand decreased with the increase in alginate concentration. When 5% alginate was used with a CaCO3 concentration of 0.18 g g−1 sand, the permeability of the alginate‐treated sand reduced from 5.0 × 10−4 to 2.2 × 10−9 m s−1. The scanning electron microscopy images revealed that a film‐type coating was formed around sand particles with spherical round crystals embedded. Furthermore, the in‐situ formed Ca‐alginate polymeric sealant can also be used for the removal of Cu2+ ion and suspended particles from contaminated water by more than 90%. Built on the current research, the envisioned practical application of the proposed method may include clogging fractured rock, reducing seepage and prevent piping through dams, excavation dewatering, and forming barriers for remediating specific contaminants.
Application of the uridine auxotrophic host and synthetic nucleosides for a rapid selection of hydrolases from metagenomic libraries
Authors: Urbelienė Nina , Kutanovas Simonas , Meškienė Rita , Gasparavičiūtė Renata , Tauraitė Daiva , Koplūnaitė Martyna , Meškys Rolandas 
Published: October 2018

SummaryA high‐throughput method (≥ 106 of clones can be analysed on a single agar plate) for the selection of ester‐hydrolysing enzymes was developed based on the uridine auxotrophy of Escherichia coli strain DH10B ΔpyrFEC and the acylated derivatives 2′,3′,5′‐O‐tri‐acetyluridine and 2′,3′,5′‐O‐tri‐hexanoyluridine as the sole source of uridine. The proposed approach permits the selection of hydrolases belonging to different families and active towards different substrates. Moreover, the ester group of the substrate used for the selection, at least partly, determined the specificity of the selected enzymes.
Retrenchment as a Screening Mechanism: Power Shifts, Strategic Withdrawal, and Credible Signals
Authors: Yoder Brandon K. 
Published: October 2018

AbstractBoth advocates and opponents of retrenchment have treated it as an undesirable, last‐ditch strategy for states that have already experienced severe decline. This article presents a formal model that identifies an unrecognized benefit of retrenchment: It can provide declining states with valuable information about rising states' future intentions. By removing constraints over the behavior of rising states in a particular region, a declining state can induce hostile risers to attempt revision of the regional order. This, in turn, makes a riser's cooperative behavior more credible as a signal of benign intentions, allowing the decliner to oppose hostile types while accommodating benign ones. In contrast to the existing focus on retrenchment as a desperate strategy taken from a position of weakness, this article suggests that the informational benefits of retrenchment are greatest when it is undertaken early, from a position of strength.