bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of migrating entheses involves replacement of progenitor populations
Authors: Felsenthal Neta , Rubin Sarah , Stern Tomer , Krief Sharon , Pal Deepanwita , Pryce Brian A. , Schweitzer Ronen , Zelzer Elazar 
Published: October 2017

AbstractAttachment sites of tendons to bones, called entheses, are essential for proper musculoskeletal function. They are formed embryonically bySox9+ progenitors and undergo a developmental process that continues into the postnatal period and involvesGli1lineage cells. During bone elongation, some entheses maintain their relative positions by actively migrating along the bone shaft, while others, located at the bone’s extremities, remain stationary. Despite their importance, we lack information on the developmental transition from embryonic to mature enthesis and on the relation betweenSox9+ progenitors andGli1lineage cells. Here, by performing a series of lineage tracing experiments, we identify the onset ofGli1lineage contribution to different entheses during embryogenesis. We show thatGli1expression is regulated by SHH signaling during embryonic development, whereas postnatally it is maintained by IHH signaling. Interestingly, we found that unlike in stationary entheses, whereSox9+ cells differentiate into theGli1lineage, in migrating entheses theSox9lineage is replaced byGli1lineage and do not contribute to the mature enthesis. Moreover, we show that theseGli1+progenitors are pre-specified embryonically to form the different cellular domains of the mature enthesis.Overall, these findings demonstrate a developmental strategy whereby one progenitor population establishes a simple, embryonic tissue, whereas another population is responsible for its maturation into a complex structure during its migration. Moreover, they suggest that different cell populations may be considered for cell-based therapy of enthesis injuries.
A microbial perspective on the life-history evolution of marine invertebrate larvae: if, where, and when to feed
Authors: Carrier Tyler J. , Macrander Jason , Reitzel Adam M. 
Published: October 2017

AbstractThe feeding environment for planktotrophic larvae has a major impact on development and progression towards competency for metamorphosis. High phytoplankton environments that promote growth often have a greater microbial load and incidence of pathogenic microbes, while areas with lower food availability have a lower number of potential pathogens. Trade-offs between metabolic processes associated with growth and immune functionality have been described throughout the animal kingdom and may influence the life-history evolution of marine invertebrate planktotrophic larvae in these environments. Namely, to avoid potential incidences of microbial-mediated mortality and/or dysbiosis, larvae should regulate time spent between these two feeding environments. We describe here transcriptomic and microbiome data that supports this trade-off in larvae, where larvae in a well-fed environment upregulate genes associated with metabolism and may regularly enter a state of dysbiosis, resulting in mortality. To address the hypothesis that the environmental microbiota is a selective force on if, where, and when planktotrophic larvae should feed, we present a strategy for determining the specific interactions of larvae and microbes at a scale representative of their larger pelagic environment.
Microglial elimination of dopamine D1 receptors defines sex-specific changes in nucleus accumbens development and social play behavior during adolescence
Authors: Kopec Ashley M. , Smith Caroline J. , Ayre Nathan R. , Sweat Sean C. , Bilbo Staci D. 
Published: October 2017

AbstractAdolescence is a developmental period in which the mesolimbic dopaminergic ‘reward’ circuitry of the brain, including the nucleus accumbens (NAc), undergoes significant developmental plasticity and neural circuit maturation. Dopamine D1 receptors (D1rs) in the NAc have recently been demonstrated to be critical modulators of social behavior, but how these receptors are regulated in adolescence to mediate social behavior is not well understood. In this report, we used multi-plexed immunohistochemistry with volumetric reconstructions, co-immunoprecipitation,ex vivo, andin vivostereotaxic, microglial manipulation, and social behavior assessment to demonstrate that microglia and complement-mediated phagocytic activity shapes sex-specific NAc development. Moreover, we report for the first time that microglia-mediated phagocytosis is required for natural developmental changes in behavior, specifically, adolescent male social play behavior. These data have broad implications for understanding how experience interacts with the developing reward circuity, sex-specific responses to stimuli in adolescence, and how neuropsychiatric disorders may arise in a sexually dimorphic manner.
Pteridine glycosyltransferase from Chlorobium tepidum: crystallization and X-ray analysis
Authors: Killivalavan Asaithambi , Park Young Shik , Lee Kon Ho 
Published: October 2017

The pteridine glycosyltransferase (PGT) found in Chlorobium tepidum (CtPGT) catalyzes the conversion of L-threo-tetrahydrobiopterin to 1-O-(L-threo-biopterin-2′-yl)-β-N-acetylglucosamine using UDP-N-acetylglucosamine. The gene for CtPGT was cloned, and selenomethionine-derivatized protein was overexpressed and purified using various chromatographic techniques. The protein was crystallized by the hanging-drop vapour-diffusion method using 0.24 M triammonium citrate pH 7.0, 14%(w/v) PEG 3350 as a reservoir solution. Multiple-wavelength anomalous diffraction data were collected to 2.15 Å resolution from a single CtPGT crystal. The crystal belonged to the monoclinic space group C2, with unit-cell parameters a = 189.61, b = 79.98, c = 105.92 Å, β = 120.5°.
“Understanding restaurant firms” debt-equity financing
Authors: Mun Sung Gyun , Jang SooCheong (Shawn) 
Published: October 2017

PurposeThe purpose of this study was to extend the understanding of restaurant firms’ overall debt and equity financing practices by considering what drives equity financing. More importantly, this study attempted to identify whether an optimal financial leverage point exists in the relationship between debt financing and equity financing for restaurant firms.Design/methodology/approachThis study used fixed-effects regression models with a sample of 1,549 unbalanced firm-year panel data to identify restaurant firms’ financial practices and the impacts of financial constraints.FindingsFirst, restaurant firms tend to issue long-term debt to pay back existing debt. However, the amount of debt does not exactly match the debt’s maturity. Second, small restaurant firms’ net debt financing, as well as net equity financing, has an inverted-U-shaped relationship with financial leverage. Finally, the effect of financial leverage on external financing significantly differs between small and large restaurant firms.Practical implicationsRestaurant firms routinely use both debt and equity financing interchangeably to manage their financial constraints and target debt ratio. Further, firm size is an important indicator of financial constraints, while equity financing plays an important role in managing an optimal target debt ratio.Originality/valueThis study is unique in that it considers determinants of restaurant firms’ long-term debt financing as well as equity financing. This study also examines differences in long-term debt and equity financing practices between financially constrained and unconstrained firms.
Online friendships in a hospitality exchange network: a sharing economy perspective
Authors: Chung Jin Young 
Published: October 2017

Purpose
The present study aims to clarify how online friendships between local residents and tourists are made in a hospitality exchange network, one of the not-for-profit sharing economy platforms. Specifically, the study empirically examines three topics: the properties of dyadic relationships in the platform; the effect of face-to-face interactions on online friendships in the platform; and the role of locals in building host-guest relationships in the hospitality exchange network.

Design/methodology/approach
Social networks data in CouchSurfing.org were collected and analyzed using a social network analysis (SNA) program. Along with the descriptive analysis of the actors in the online hospitality network, several SNA indicators, including the degree of centrality, density and centralization, were measured to explore the nature of the network and identify the gatekeepers.

Findings
Findings suggest that latent ties between tourists and hosts are likely to be manifested through face-to-face events. In particular, local people play central roles in establishing host-guest relationships.

Research limitations/implications
This study contributes to the body of knowledge on the sharing economy in hospitality by synthesizing two areas in the literature, the host-guest framework and the online hospitality networks.

Originality/value
The social psychological aspects of the sharing economy have yet to receive attention from hospitality scholars. In addition, studies have largely focused on profit-driven models in the sharing economy (e.g. Airbnb). This study fills this gap by examining the host and guest behavior empirically in one of the not-for-profit hospitality sharing economy platforms.
How does perceived corporate social responsibility contribute to green consumer behavior of Chinese tourists
Authors: Su Lujun , Swanson Scott R. , Hsu Maxwell , Chen Xiaohong 
Published: October 2017

Purpose
This study aims to examine consumption emotions and customer–company identification as mediating variables to explore the association of perceived corporate social responsibility (CSR) on green consumer behavior in a hospitality–lodging context.

Design/methodology/approach
Using a stimulus–organism–response framework, an integrated model is developed. The hypothesized relationships of the research model are tested using the structural equation modeling technique. Data were gathered from hotel guests at a UNESCO World Heritage Site in China.

Findings
Perceived CSR directly affects positive emotions, negative emotions and customer–company identification. Positive emotions significantly influence customer–company identification. Positive emotions and customer–company identification partially mediate the relationship between perceived CSR and green consumer behavior. Hotel type was not found to be a moderating factor.

Research limitations/implications
Perceived CSR can act to influence consumers’ behaviors more broadly via an increased likelihood of engaging in green consumer behavior. Implementing CSR strategies at the company level may provide additional benefits to society as a whole. The proposed relationships need to be replicated in other service organizations, segments and cultures to better assess the generalizability of the findings.

Originality/value
This study investigates the association between consumption emotions and customer–company identification, which has been missing in the tourism/hospitality literature. This study also extends previous CSR literature by examining the potential moderating role of hospitality type.
Revisited: how gender role stereotypes affect the image of entrepreneurs among young adults
Authors: Meyer Verena , Tegtmeier Silke , Pakura Stefanie 
Published: October 2017

PurposeEntrepreneurship is shaped by a male norm, which has been widely demonstrated in qualitative studies. The authors strive to complement these methods by a quantitative approach. First, gender role stereotypes were measured in entrepreneurship. Second, the explicit notions of participants were captured when they described entrepreneurs. Therefore, this paper aims to revisit gender role stereotypes among young adults.Design/methodology/approachTo measure stereotyping, participants were asked to describe entrepreneurs in general and either women or men in general. The Schein Descriptive Index (SDI) for characterization was used. Following the procedures of Schein (1975), intra-class-correlation was calculated as a measure of congruence. This approach was complemented by controlling explicit notions, i.e. the image that participants had when describing entrepreneurs.FindingsThe images of men and entrepreneurs show a high and significant congruence (r= 0.803), mostly in those adjectives that are untypical for men and entrepreneurs. The congruence of women and entrepreneurs was low (r= 0.152) and insignificant. Contrary to the participants’ beliefs, their explicit notions did not have any effect on measures of congruence. However, young adults who knew business owners in their surroundings rated the congruence of women and entrepreneurs significantly higher (r= 0.272) than average.Originality/valueThis study is unique in combining “implicit” stereotypes and explicit notions. It demonstrates that gender stereotypes in entrepreneurship are powerful. The image of the entrepreneur remains male, independent of explicit notions. As young adults who knew business owners in their surroundings rated the congruence of women and entrepreneurs higher, this could be a starting point for education programmes.
Evaluating students’ learning achievement and flow experience with tablet PCs based on AR and tangible technology in u-learning
Authors: Huang Yueh-Min , Lin Pei Hsuan 
Published: October 2017

Purpose
Advances in technology have led to continuous innovations in teaching and learning methods. Ubiquitous-learning (u-learning) practices are still in the development stages. The current lack of effective learning strategy tools means that students often experience difficulty focusing on the learning objectives. Little research has been done on the educational benefits of integrating augmented reality (AR) technology running on tablet PCs (TPCs), either in the classroom or in a u-learning environment. Still, classroom instruction using TPCs has been shown to be attractive to students and able to effectively increase their motivation to learn. The paper aims to discuss these issues.

Design/methodology/approach
This paper uses a TPC game (an app called SkyView) to help young students understand the theory and practically implement the astronomy concepts of prograde and retrograde motion. The study design is based on the use of AR technology, and the authors divide students into “tablet PC application” (experimental group) and “astrolabe” (control group) games. The authors investigate whether the experimental group surpasses the control group in terms of learning motivation, flow experience (FE), self-efficacy regarding technology, self-efficacy regarding science, positive feelings about the learning experience, and satisfaction with the learning approach (SL).

Findings
The findings show that students in the experimental group performed better in regards to learning achievement. In general, the improved FE helped students enjoy the learning activity to the point that they did not notice the passage of time. In regards to SL, the findings show that the students in the experimental group had an increased willingness to use the TPC to learn.

Originality/value
There is a lack of research investigating the effects of the FE with tangible and AR technology in learning environments. The results of this study show the responses and performance of elementary students who participated in such a learning experience, in terms of their feelings regarding the method and tools, and in terms of their motivation, willingness to learn, and actual learning achievement.
Understanding regional characteristics through crowd preference and confidence mining in P2P accommodation rental service
Authors: Abdar Moloud , Yen Neil Y. 
Published: October 2017

Purpose
This research intends to look at the regional characteristics through an analysis of crowd preference and confidence, and investigates how regional characteristics are going to affect human beings at all aspects in a scenario of sharing economy. The purpose of this paper is to introduce an approach to provide an understandable rating score. Furthermore, the paper aims to find the relationships between different features classified in this study by using machine learning methods. Furthermore, due to the importance of performance of methods, the performance of the features is also improved.

Design/methodology/approach
The Rating Matching Rate (RMRate) approach is proposed to provide score in terms of simplicity and understandability for all features. The relationships between features can be extracted from accommodation data set using decision tree (DT) algorithms (J48, HoeffdingTree, and REPTree). Usability of these methods was evaluated using different metrics. Two techniques, “ClassBalancer” and “SpreadSubsample,” are applied to improve the performance of algorithms.

Findings
Experimental outcomes using the RMRate approach show that the scores are very easy to understand. Three property types are very popular almost in all of selected countries in this study (“apartment”, “house”, and “bed and breakfast”). The findings also indicate that “Entire home/apt” is the most common room-type and 4.5 and 5 star-rating are the most given star-rating by users. The proposed DT algorithms can find the relationships between features significantly. In addition, applied CB and SS techniques could improve the performance of algorithms efficiently.

Originality/value
This study gives precise details about the guests’ preferences and hosts’ preferences. The proposed techniques can effectively improve the performance in predicting the behavior of users in sharing economy. The findings can also help group decision making in P2P platforms efficiently.
Human behavior analysis in the production and consumption of scientific knowledge across regions
Authors: Qasim Muhammad Awais , Ul Hassan Saeed , Aljohani Naif Radi , Lytras Miltiadis D. 
Published: October 2017

Purpose
The latest developments in Data Science and in advanced Scientometrics set a very challenging context for the analysis and the understanding of human behavior toward the design of value adding library services and sophisticated information systems. The purpose of this paper is to present an innovative research that integrates the creation and the consumption of scientific knowledge across regions. From a human behavior point of view, this is significant since it provides an advanced decision-making layer for bringing together researchers from all over the world.

Design/methodology/approach
More specific in this paper, the authors analyze the production and consumption of scientific knowledge across the regions in an important field of sustainable and renewable energy – using publications and citations data indexed in Scopus. As a case study, the authors select the USA a major producer of scientific publications in the field. At first, the authors identify the topics produced by the USA. Further topics produced by the scientific communities outside the USA that consume the knowledge produced by the USA are identified. The authors generate topics by employing the proposed topic model with distance matrix – an extension of classic latent Dirichlet allocation model.

Findings
The results show that research topics produced by the USA are consumed in different international contexts, interestingly. Consuming the knowledge produced by the USA, Chinese scientific community heavily produces topics related to biomass – to produce renewable energy. In contrast, Japanese scientific community produces topics related to fuel cell – used for the production of hybrid and electronic vehicles. Whereas the Taiwanese scientific community shows remarkable competency in solar cells. Among the European nations, while the German scientific community produces topics related to photovoltaic, the French scientific community covers topics related to Energy Storage and Green Chemistry. The authors believe that such analyses may be helpful in establishing more effective multi-national research collaborations by understating the actual consumption of produced knowledge.

Practical implications
Overall, the study provides a new dimension to comprehensively understand production and consumption of knowledge using scientific literature. From a human behavior analysis view in the context of sophisticated library systems, this is a significant contribution.

Originality/value
The use of advanced Data Mining and computing methods for deriving critical insights for the use of scientific knowledge is a bold action toward the global knowledge society vision.
A comparative study of cuckoo search and flower pollination algorithm on solving global optimization problems
Authors: Abdel-Basset Mohamed , Shawky Laila A. , Sangaiah Arun Kumar 
Published: October 2017

Purpose
The purpose of this paper is to present a comparison between two well-known Lévy-based meta-heuristics called cuckoo search (CS) and flower pollination algorithm (FPA).

Design/methodology/approach
Both the algorithms (Lévy-based meta-heuristics called CS and Flower Pollination) are tested on selected benchmarks from CEC 2017. In addition, this study discussed all CS and FPA comparisons that were included implicitly in other works.

Findings
The experimental results show that CS is superior in global convergence to the optimal solution, while FPA outperforms CS in terms of time complexity.

Originality/value
This paper compares the working flow and significance of FPA and CS which seems to have many similarities in order to help the researchers deeply understand the differences between both algorithms. The experimental results are clearly shown to solve the global optimization problem.
A practical guide for inferring reliable dominance hierarchies and estimating their uncertainty
Authors: Sánchez‐Tójar Alfredo , Schroeder Julia , Farine Damien Roger 
Published: October 2017

Abstract

Many animal social structures are organized hierarchically, with some individuals monopolizing resources. Dominance hierarchies have received great attention from behavioural and evolutionary ecologists.

There are many methods for inferring hierarchies from social interactions. Yet, there are no clear guidelines about how many observed dominance interactions (i.e. sampling effort) are necessary for inferring reliable dominance hierarchies, nor are there any established tools for quantifying their uncertainty.

We simulate interactions (winners and losers) in scenarios of varying steepness (the probability that a dominant defeats a subordinate based on their difference in rank). Using these data, we (1) quantify how the number of interactions recorded and the steepness of the hierarchy affect the performance of five methods for inferring hierarchies, (2) propose an amendment that improves the performance of a popular method, and (3) suggest two easy procedures to measure uncertainty and steepness in the inferred hierarchy.

We find that the ratio of interactions to individuals required to infer reliable hierarchies is surprisingly low, but depends on the steepness of the hierarchy and the method used. We show that David's score and our novel randomized Elo‐rating are the best methods when hierarchies are not extremely steep, where the original Elo‐rating, the I&SI and the recently described ADAGIO perform less well. In addition, we show that two simple methods can be used to estimate uncertainty at the individual and group level, and that the randomized Elo‐rating repeatability provides researchers with a standardized measure valid for comparing the steepness of different hierarchies. We provide several worked examples to guide researchers interested in studying dominance hierarchies.

Methods for inferring dominance hierarchies are relatively robust. We recommend that a ratio of observed interactions to individuals of at least 10 (for steep hierarchies), and ideally 20 serves as a good benchmark. Our simple procedures for estimating uncertainty in the observed data will facilitate evaluating whether sufficient data have been collected, while plotting the shape of the hierarchy will provide new insights into the social structure of the study organism.