bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mapping glycan-mediated galectin-3 interactions by live cell proximity labeling
Authors: Joeh Eugene , O’Leary Timothy , Li Weichao , Hawkins Richard , Hung Jonathan R. , Parker Christopher G. , Huang Mia L. 
Published: May 2020

AbstractGalectin-3 is a glycan-binding protein (GBP) that binds β-galactoside glycan structures to orchestrate a variety of important biological events, including the activation of hepatic stellate cells to cause hepatic fibrosis. While the requisite glycan epitopes needed to bind galectin-3 have long been elucidated, the cellular glycoproteins that bear these glycan signatures remain unknown. Given the importance of the three-dimensional arrangement of glycans in dictating GBP interactions, strategies that allow the identification of GBP receptors in live cells, where the native glycan presentation and glycoprotein expression are preserved, possess significant advantages over static and artificial systems. Here, we describe the integration of a proximity labeling method and quantitative mass spectrometry to map the glycan and glycoprotein interactors for galectin-3 in live hepatic stellate cells. Understanding the identity of the glycoproteins and defining the structures of the glycans required for galectin-3 mediated hepatic stellate cell activation will empower efforts to design and develop selective therapeutics to mitigate hepatic fibrosis.SignificanceBecause of the weak interactions between individual glycan-binding proteins (GBP), such as galectin-3, and glycans, strategies that allow the direct interrogation of these interactions in living cells remain limited. Thus, the glycan and glycoprotein ligands that are physiologically relevant for galectin-3 binding are insufficiently described. Here, we used a proximity labeling approach that catalytically tags interactors for galectin-3 and identified its pertinent glycan and glycoprotein counter-receptors in live hepatic stellate cells. This study demonstrates that proximity labeling is a powerful tool for mapping GBP complexes in living cells, and when coupled with chemical inhibitors, it can discriminate between protein-protein and protein-glycan interactions.Graphical Abstract
Multiple origins of insular woodiness on the Canary Islands are consistent with palaeoclimatic aridification
Authors: van Huysduynen Alexander Hooft , Janssens Steven , Merckx Vincent , Vos Rutger , Valente Luis , Zizka Alexander , Larter Maximilian , Karabayir Betül , Maaskant Daphne , Witmer Youri , Fernández-Palacios José Maria , de Nascimento Lea , Jaén Ruth Molina , Castells Juli Caujapé , Marrero-Rodríguez Águedo , del Arco Marcelino , Lens Frederic 
Published: May 2020

ABSTRACTAimInsular woodiness, referring to the evolutionary transition from herbaceousness towards woodiness on islands, has arisen at least 38 times on the Canary Islands. Distribution patterns and physiological experiments have suggested a link between insular woodiness and increased drought stress resistance in current-day species, but we do not know in which palaeoclimatic conditions these insular woody lineages originated. Therefore, we estimated the timing of colonisation events and origin of woodiness of multiple Canary Island lineages and reviewed the palaeoclimate based on literature.LocationCanary Islands (Spain).Taxon37 lineages, including 24 insular woody and 13 non-insular woody (i.e. herbaceous, ancestrally woody, and derived woody).MethodsTo enable a simultaneous dating analysis for all 37 lineages, two chloroplast markers (matKandrbcL) for 135 Canary Island species and 103 closely related continental relatives were sequenced and aligned to an existingmatK-rbcLdataset including ca 24,000 species that was calibrated with 42 fossils from outside the Canaries. After constraining the species to the family level, 200 RAxML runs were performed and dated with TreePL.ResultsWoodiness in 80-90% of the insular woody lineages originated within the last 7 Myr, coinciding with the onset of major aridification events nearby the Canaries (start of north African desertification, followed by Messinian salinity crisis); in ca 55-65% of the insular woody lineages studied, woodiness developed within the last 3.2 Myr during which Mediterranean seasonality (yearly summer droughts) became established on the Canaries, followed by dry Pleistocene glacial fluctuations.Main conclusionsAlthough details of the initial colonisation and settlement of many island plant lineages remain elusive, our results are consistent with palaeodrought as a potential driver for woodiness in most of the insular woody Canary Island lineages studied.
Kappa-opioid receptor-dependent changes in dopamine and affective behavior occur differentially across the nucleus accumbens shell rostro-caudal axis
Authors: Pirino Breanne E. , Spodnick Mary B. , Gargiulo Andrew T. , Curtis Genevieve R. , Barson Jessica R. , Karkhanis Anushree N. 
Published: May 2020

ABSTRACTNeural circuit engagement within the nucleus accumbens (NAc) shell is implicated in the regulation of both negative and positive affect. Classically, the dynorphin/kappa opioid receptor (KOR) system in the NAc was believed to promote dysphoric behavior, while dopamine was viewed as interacting with reward behavior, and KOR activation was known to inhibit dopamine release. Recently, however, both the KOR and dopamine systems have, separately, been shown to have differential effects across the rostro-caudal axis of the NAc shell on hedonic responses. Whether or not this is due to interactions between KORs and dopamine, and if it extends to other affective behaviors, remains to be determined. In this study, we examined in rats the relationship between the KOR and dopamine systems in both the rostral and caudal NAc shell usingex vivofast scan cyclic voltammetry and the impact of KOR activation on affective behavior using approach-avoidance assays. We report here that activation of KORs in the caudal NAc shell significantly inhibits dopamine release, stimulates novelty-induced rearing behavior, increases avoidance behavior, and reduces locomotor activity. In contrast, activation of KORs in the rostral NAc shell inhibits dopamine release to a lesser extent and instead increases approach behavior. Taken together, these results indicate that there is heterogeneity across the rostro-caudal axis of the NAc shell in the effects of KOR stimulation on affective behaviors, and they suggest that this might be due to differences in KOR control over dopamine release.
Haptic-enabled virtual planning and assessment of product assembly
Authors: Gallegos-Nieto Enrique , Medellin-Castillo Hugo I. , Xiu-Tian Yan , Corney Jonathan 
Published: May 2020

Purpose
This study aims to present a new haptic-enabled virtual assembly system for the automatic generation and objective assessment of assembly plans. The system is intended to be used as an assembly planning tool along the product development process.

Design/methodology/approach
The generation of product assembly plans is based on the analysis of the assembly movements and operations performed by the user during the virtual assembly execution, and the objective assessment of product assembly is based on the definition and computation of new proposed assembly metrics.

Findings
To evaluate the system, a case study corresponding to the assembly of a mechanical component is presented and analyzed. The results demonstrate that the proposed system is an effective tool to plan and evaluate different product assembly strategies in a more practical and objective approach than existing assembly planning methods.

Research limitations/implications
Although the virtual assembly execution time is larger than the real assembly execution time, the assembly planning and evaluation results provided by the system are valid. However, the development of higher performance collision detection algorithms is needed to reduce the simulation time.

Originality/value
The proposed virtual assembly system is able to not only simulate and automatically generate assembly plans but also objectively assess them from the virtual assembly task execution. The introduction and use of several assembly performance metrics to objectively evaluate assembly strategies in virtual assembly also represents a novel contribution.
What does “gender equality” mean? Social representations of gender equality in the workplace among French workers
Authors: Coron Clotilde 
Published: May 2020

PurposeThis work deals with social representations of gender equality in the workplace. Little academic work deals with the way workers define gender equality. My research also deals with the implications of this definition in terms of policy implementation.Design/methodology/approachThis work is based on a mixed-method approach. A quantitative study based on an online survey conducted in 2015 at a French company is mobilized to identify and measure the main representations of gender equality among the workers. Then, a qualitative study is used to explore these representations in depth and to examine how they influence the implementation of policy on gender equality.FindingsThis work shows that for French workers, equal pay and equal access to responsibilities are the most important dimensions of gender equality, while gender diversity and work-life balance seem less important. The representation of gender equality varies according to gender, professional field and managerial status. These variations help to understand the difficulty of implementing such policy.Practical implicationsManagerially, these results would strongly indicate that companies in France, but also in other developed countries, should consider carrying out awareness campaigns aimed at employees in order to promote a common culture and definition of gender equality. Indeed, the coexistence of various representations of gender equality partly explains the insufficient implementation—and thus the poor performance and general effectiveness of gender equality policies, both in theoretical and practical terms. Companies should also consider introducing awareness campaigns that specifically target men, who grant less importance to gender equality than women.Originality/valueThis study deals with social representations of gender equality in France, a subject which has been largely neglected or overlooked in existing fields of gender research. The international literature on gender equality shows that variations in representations of gender equality constitute a major subject for research and policies about gender, whatever the country. However, this topic still remains inadequately addressed. This research aims to strengthen such research literature dedicated to the issue of gender equality.
Gaston Acurio: business model innovation and creation of a Peruvian gastronomic brand
Authors: Ontaneda Elizabeth , Quiroga Guillermo 
Published: May 2020

Learning outcomes
Identify the types of innovation that Gastón Acurio’s proposal has created. Understand the key strategies developed to grown and consolidate Peruvian food as a category internationally and as part of Acurio’s business. Identify elements of the business model using the business model canvas. Explain how elements of a business model are related, reinforce each other and drive results. Evaluate strengths, opportunities, weaknesses and threats to a business model. Analyze changes to the model that can capitalize upon or mitigate these factors based on evidence.

Case overview/synopsis
Gastón Acurio is a successful Peruvian chef and restauranteur who was key in shaping the country’s gastronomic industry. His innovative business model distinguished him from other Peruvian restauranteurs and allowed him to grow and take advantage of opportunities in Peru and internationally. His success and growth attracted US$52m in investment funding. However, his model’s challenges surfaced during a difficult restaurant launch exacerbated by a harsh review in the New York Times. Students must identify and analyze the key elements of Acurio’s business model to evaluate and propose changes to better take advantage of its strengths and opportunities, as well as to mitigate weaknesses and threats.

Complexity academic level
Master’s or MBA.

Supplementary materials
Teaching Notes are available for educators only.

Subject code
CSS 12: Tourism and hospitality.
SABlockFL: a blockchain-based smart agent system architecture and its application in federated learning
Authors: Zhang Zhizhao , Yang Tianzhi , Liu Yuan 
Published: May 2020

PurposeThe purpose of this work is to bridge FL and blockchain technology through designing a blockchain-based smart agent system architecture and applying in FL. and blockchain technology through designing a blockchain-based smart agent system architecture and applying in FL. FL is an emerging collaborative machine learning technique that trains a model across multiple devices or servers holding private data samples without exchanging their data. The locally trained results are aggregated by a centralized server in a privacy-preserving way. However, there is an assumption where the centralized server is trustworthy, which is impractical. Fortunately, blockchain technology has opened a new era of data exchange among trustless strangers because of its decentralized architecture and cryptography-supported techniques.Design/methodology/approachIn this study, the author proposes a novel design of a smart agent inspired by the smart contract concept. Specifically, based on the proposed smart agent, a fully decentralized, privacy-preserving and fair deep learning blockchain-FL framework is designed, where the agent network is consistent with the blockchain network and each smart agent is a participant in the FL task. During the whole training process, both the data and the model are not at the risk of leakage.FindingsA demonstration of the proposed architecture is designed to train a neural network. Finally, the implementation of the proposed architecture is conducted in the Ethereum development, showing the effectiveness and applicability of the design.Originality/valueThe author aims to investigate the feasibility and practicality of linking the three areas together, namely, multi-agent system, FL and blockchain. A blockchain-FL framework, which is based on a smart agent system, has been proposed. The author has made several contributions to the state-of-the-art. First of all, a concrete design of a smart agent model is proposed, inspired by the smart contract concept in blockchain. The smart agent is autonomous and is able to disseminate, verify the information and execute the supported protocols. Based on the proposed smart agent model, a new architecture composed by these agents is formed, which is a blockchain network. Then, a fully decentralized, privacy-preserving and smart agent blockchain-FL framework has been proposed, where a smart agent acts as both a peer in a blockchain network and a participant in a FL task at the same time. Finally, a demonstration to train an artificial neural network is implemented to prove the effectiveness of the proposed framework.
Examining the effect of personality traits on workplace spirituality
Authors: Tutar Hasan , Oruç Emre 
Published: May 2020

PurposeThe purpose of this study is to determine the relationship between five-factor personality traits and workplace spirituality.Design/methodology/approachThe research design of the study is prediction design, one of the quantitative research designs. The participants included 408 people working in a public university in Turkey as an academic or administrative staff. Five-factor personality traits and workplace spirituality scales were used to collect data.FindingsExtraversion and conscientiousness have a positive effect on workplace spirituality. Openness, agreeableness and neuroticism have no significant effect on workplace spirituality.Research limitations/implicationsThis study is limited to the relationship between “five-factor personality traits” and “workplace spirituality”. As the participants of the study were chosen among those who voluntarily agreed to participate in the study, the generalizability of the results is limited. The results are limited to explaining the questions such as “what”, “how much” and “who”.Practical implicationsThe conclusions of the study are important in terms of showing the managers that everyone cannot be motivated and satisfied by the same motivators and therefore her or his perception of workplace spirituality will not be the same. Managers can improve organizational efficiency and effectiveness by raising employees’ workplace spirituality. It shows that employees attach importance to workplace spirituality, especially since Turkish culture has a conservative structure. In this way, motivation and job satisfaction of employees will increase and negative behaviors in the organization will decrease.Originality/valueIt can be argued that this study makes a significant theoretical contribution to research on the effect of workplace spirituality on the employee.
Comparing tagging suggestion models on discrete corpora
Authors: Bozic Bojan , Rios Andre , Delany Sarah Jane 
Published: May 2020

Purpose
This paper aims to investigate the methods for the prediction of tags on a textual corpus that describes diverse data sets based on short messages; as an example, the authors demonstrate the usage of methods based on hotel staff inputs in a ticketing system as well as the publicly available StackOverflow corpus. The aim is to improve the tagging process and find the most suitable method for suggesting tags for a new text entry.

Design/methodology/approach
The paper consists of two parts: exploration of existing sample data, which includes statistical analysis and visualisation of the data to provide an overview, and evaluation of tag prediction approaches. The authors have included different approaches from different research fields to cover a broad spectrum of possible solutions. As a result, the authors have tested a machine learning model for multi-label classification (using gradient boosting), a statistical approach (using frequency heuristics) and three similarity-based classification approaches (nearest centroid, k-nearest neighbours (k-NN) and naive Bayes). The experiment that compares the approaches uses recall to measure the quality of results. Finally, the authors provide a recommendation of the modelling approach that produces the best accuracy in terms of tag prediction on the sample data.

Findings
The authors have calculated the performance of each method against the test data set by measuring recall. The authors show recall for each method with different features (except for frequency heuristics, which does not provide the option to add additional features) for the dmbook pro and StackOverflow data sets. k-NN clearly provides the best recall. As k-NN turned out to provide the best results, the authors have performed further experiments with values of k from 1–10. This helped us to observe the impact of the number of neighbours used on the performance and to identify the best value for k.

Originality/value
The value and originality of the paper are given by extensive experiments with several methods from different domains. The authors have used probabilistic methods, such as naive Bayes, statistical methods, such as frequency heuristics, and similarity approaches, such as k-NN. Furthermore, the authors have produced results on an industrial-scale data set that has been provided by a company and used directly in their project, as well as a community-based data set with a large amount of data and dimensionality. The study results can be used to select a model based on diverse corpora for a specific use case, taking into account advantages and disadvantages when applying the model to your data.
Credit derivatives design to facilitate loan purchase agreements in the secondary loan market in Thailand
Authors: Charoontham Kittiphod , Kanchanapoom Kessara 
Published: May 2020

Purpose
This paper aims to study a strategic decision of banks in Thailand to signal their types to the market and derive the optimal credit derivatives contract to guarantee their loans and credibly signal their quality under different economic determinants, namely, the maximum credit risk investment constraint, opportunity cost and opaqueness of the credit derivative market.

Design/methodology/approach
Contract theory is deployed to derive the expected payoff of different bank types under different economic and financial constraints. Hence, different bank types offer derivatives contracts to signal their loan quality and resell their loans in the secondary loan markets of Thailand.

Findings
The optimal derivatives contract is constructed on a basis of asymmetric information when banks have more private information concerning quality of their loans. A digital credit default swap is an optimal derivatives contract to send credible signal when banks are restricted to the maximum investment constraint. Moreover, profit of banks is reduced, as the optimal derivatives contract is more costly when banks are subjected to positive opportunity cost and opacity of the credit derivatives market. These results depict impact of changes of the maximum credit risk investment constraint on Thai credit derivatives market.

Originality/value
The optimal credit derivatives design that signifies bank types and facilitates loan purchase agreement has not been studied in Thai secondary loan markets before. In addition, this study provides insights of banks' strategic decisions to signal their types and transfer risk to risk buyers in Thai markets.
Changes within activity patterns through network tensions
Authors: Butler Bella , Purchase Sharon 
Published: May 2020

PurposeThis paper aims to investigate business network activity patterns and how they change when actors experience tensions.Design/methodology/approachFour tensions, developed from previous literature, are considered in relation to how they influence activity patterns. A longitudinal case study focusing on the modernization of an international airport illustrates how tensions experienced by actors influence changes in activity patterns.FindingsResults highlight that when tensions in relation to network position are experienced activity patterns are more likely to break and form new patterns. When multiple tensions are experienced within the same period, an old activity pattern is more likely to be broken and the new activity pattern develop.Research limitations/implicationsContributions in relation to interdependencies between activities heighten the impact of changes leading to the breaking of existing patterns, particularly the importance of coordination activities. These findings are context specific because activity patterns vary according to the industry.Practical implicationsPractical implications indicate that understanding network interdependences within the change process is important, particularly for co-ordination activities. The study informs practitioners about possible outcomes while tensions are experienced. This study found that when actors are experiencing multiple tensions, breaking of activity patterns is more likely to occur while experience less tensions extending existing activity patterns becoming more likely.Originality/valueContributions are made in relation to gaps in investigating the business network activity layer and their changes in relation to tensions.