bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preferential analysis of street food amongst the foreign tourists: a case of Delhi region
Authors: Gupta Vikas , Khanna Kavita , Gupta Raj Kumar 
Published: June 2019

Purpose
The purpose of this paper is to evaluate and analyse the street food preferences of foreign tourists in Delhi. It will also try to find out the reasons for the selection of these foods by the tourists.

Design/methodology/approach
The data collection was done from 670 foreign tourists at the departure gates of Indira Gandhi International Airport, New Delhi. This study involved location intercept technique through face-to-face interviews and filling of structured questionnaire for taking the responses. The street food preference of the tourists is analysed using analytical hierarchy process model.

Findings
This study identified 17 street foods which were amongst the most preferred by the foreign tourist, with chicken tikka being the most favoured and paddu being least preferred. It was also found that tourists usually prefer street foods which are mild in taste and are hygienically prepared.

Practical implications
This study suggests that Indian street food presents a huge market for the foreign tourists that needs to be nurtured. It will help the stakeholders in the street food businesses in Delhi to devise strategies to promote food tourism, modify and align tourism products, enhance farming techniques and ultimately improve the destination image and branding of the place.

Originality/value
This is the first attempt to try to explore tourists’ street food preference and will help in maximising the influx of foreign tourists, as the concept of culinary tourism is on rise in India.
Distribution planning using capacitated clustering and vehicle routing problem
Authors: Rautela Anubha , Sharma S.K. , Bhardwaj P. 
Published: June 2019

Purpose
The purpose of this paper is to reduce the distribution cost of an Indian cooperative dairy. The reduction of cost was achieved with the application of the clustering method (k-means clustering) and capacitated vehicle routing problem (cheapest link algorithm (CLA)).

Design/methodology/approach
Capacitated k-means clustering was used to split delivery locations into similar size groups (i.e. clusters) based on proximity without exceeding a specified total cluster capacity. Each cluster would be served by a local stockist. CLA was then used to find delivery routes from dairy (i.e. depot) to stockist in each cluster and from stockist to all other delivery locations within the cluster.

Findings
K-means clustering and CLA suggested optimal delivery routes on which vehicles will run. The complete algorithm was able to provide a solution within 30 s.

Practical implications
Clustering of delivery locations and use of heterogeneous fleet of delivery vehicles can result in considerable savings in daily operational cost.

Originality/value
Most of the research related to the use of demand clustering to improve distribution routes has been theoretical, which do not take into account real-world limitations like vehicle’s specific limitations. The authors tried to address that gap by taking a real-world case of a cooperative dairy and compared the result with existing distribution routes used by dairy. This work can be used by other dairies or distribution companies according to their scenario.
Feel well and do well at work
Authors: Cobaleda Cordero Antonio , Babapour Maral , Karlsson MariAnne 
Published: June 2019

Purpose
This paper aims to investigate employee well-being in relation to office landscapes in a post-relocation context. The aims are to identify spatial attributes of the office landscape that influence employee well-being and underlying contextual factors that explain employee well-being post-relocation.

Design/methodology/approach
A mixed-method approach was adopted. The data collection involved 16 semi-structured interviews with employees, an interview with the leading architect of the office renovation, study of a dossier on the renovation project and observations.

Findings
Most of the informants experienced the new office landscape positively despite few shortcomings. Spatial attributes were identified that influenced the informants’ well-being positively in terms of affects, satisfaction, social relations and environmental mastery. Conversely, negative influences on well-being were also reported regarding affects, satisfaction and environmental mastery. Conflicting views on some of the spatial attributes and contextual factors related to the planning process and the former office landscape were identified.

Originality/value
The value of this paper lies in investigating the office landscape at the spatial attributes level, despite office type, and their influence on hedonic and eudaimonic components of employee well-being. The research approach adopted proved its usefulness for in-depth studies of the interrelations between office landscapes and employee well-being.
Paving the path toward strategic agility
Authors: Nejatian Majid , Zarei Mohammad Hossein , Rajabzadeh Ali , Azar Adel , Khadivar Ameneh 
Published: June 2019

Purpose
For organizations competing in volatile environments, strategic agility is the key for sustaining in the market. It is essential for such organizations to identify the main agility indicators that contribute to their strategic core. The purpose of this paper is to propose and test a systematic methodology that identifies key agility indicators through prioritization and establishing the intra- and inter-relationships among them.

Design/methodology/approach
The methodology consists of four phases. Phase I forms a pool of agility key performance indicators (KPIs). Phase II categorizes and ranks the KPIs based on their importance and the gap that exists between their current and desired level. Using interpretive structural modeling, phase III establishes the intra-relationships among the KPIs as well as agility attributes, agility enablers and improvement paths, collectively referred to as agility indicators. Finally, phase IV analyzes the inter-relationships among agility indicators using three consecutive houses of quality.

Findings
To demonstrate the capability of the proposed methodology, it was applied to a dairy food company operating in a competitive environment. The application could address the shortcomings of previous agility methodologies and helped the company to assign resources to the right agility indicators with the highest influence on strategic agility.

Research limitations/implications
The methodology was applied to a single organization only. The application does not include long-term post-implementation observations and measurement of strategic agility.

Practical implications
Practitioners can benefit from the methodology to identify the right agility indicators of their organization and assign organizational resources for the improvement of such indicators. The methodology ensures selecting indicators that contribute to organization’s strategic agility, although ostensibly seem unrelated.

Originality/value
The paper contributes to the literature of strategic and organizational agility by proposing a systematic methodology that considers both intra- and inter-relationships among agility indicators. The methodology also makes a decent contribution in addressing organizational ambidexterity by analyzing mutually exclusive indicators pertaining to current and future opportunities for the organization.
Does being beautiful always help? Contingency effects of physical attractiveness of the service providers on customer response
Authors: Li Yaoqi , Xie Lishan , Gao Teng , Guan Xinhua 
Published: June 2019

Purpose
This paper aims to explore the physical attractiveness stereotype in service encounters. Specifically, this paper examines how physical attractiveness affects a customer’s response and whether a customer’s social interaction anxiety and the consumption situation moderate this relationship.

Design/methodology/approach
Three experiments were used to test hypotheses. Participants were subject to scenarios of varying levels of physical attractiveness (more vs less), social interaction anxiety (high vs low) and consumption situation (private vs public). Customer participation intention and citizenship behavior were measured along scales.

Findings
The results indicate that the physical attractiveness of service providers positively affects customer citizenship behavior, and customer participation intention mediates this relationship. However, the effect only exists for a customer with low social interaction anxiety or presents itself under public consumption conditions.

Research limitations/implications
This work paints a more nuanced picture of missing links in the understanding of the influence of service providers’ physical attractiveness. It enriches the physical attractiveness stereotype literature by identifying the mediating role of customer participation intention while bounding the relationship within conditions related to a customer’s social interaction anxiety and the service consumption situation.

Practical implications
Management may alter the performance of service employees by considering the employee’s physical attractiveness and gauging customer social interaction anxiety while keeping in mind the consumption situation.

Originality/value
This study advances physical attractiveness stereotype research by examining its effect on customer participation intention and citizenship behavior in the service industry. Additionally, this study adds customer social interaction anxiety and consumption situation to the existing literature that addresses employee factors affecting customer behavior.
Crowdfunding in real estate: evolutionary and disruptive
Authors: Shahrokhi Manuchehr , Parhizgari A.M. 
Published: June 2019

Purpose
The purpose of this paper is to analyze the determinants and the operational aspects of real estate crowdfunding (RECF henceforth). It addresses RECF growth, drivers and platforms in light of modern digital technology.

Design/methodology/approach
A comparison with traditional real estate funding is provided, and the ease and advantages that RECF offers to real estate investors are analyzed. The risks and rewards of crowdfunding in general and RECF in particular are also addressed.

Findings
Inasmuch as RECF appears novel and disruptive, research in this paper dates RECF back to the seventieth century. The findings thus posit that RECF is an evolutionary process while it is currently transformative and disruptive.

Originality/value
This is a novel look into RECF, particularly in terms of data, analyses and evaluation of alternatives.
Rethinking coral reef functional futures
Authors: Williams Gareth J. , Graham Nicholas A. J. 
Published: June 2019

Abstract

Tropical coral reefs currently face an unprecedented restructuring since their extant form and function emerged ~24 million years ago in the early Neogene. They have entered the Anthropocene—an epoch where humans have become the dominant force of planetary change. Human impacts on and interactions with coral reefs are escalating across multiple trophic levels and scales, but we have a rudimentary understanding of what this means for their functional ecology.

The overall goal of this special feature is to unpack what the Anthropocene means for the functional ecology of coral reefs, laying the foundations for new approaches and research directions in coral reef science. The collection describes the functional changes and novel dynamics that characterise Anthropocene reefs, from variations in their taxonomy and geology through to the resulting shifts in ecosystem services they provide to humanity.

Common changes to coral reefs are occurring that are challenging their historical functional role. These include reductions in benthic calcifiers and declining carbonate production, and benthic assemblage shifts leading to a loss of structural complexity and flattening of reef seascapes. As reefs as we know them are lost from some locations, range extensions and the “tropicalisation” of temperate locations present novel ecosystem configurations that are challenging ecological paradigms and our historical approach to ecosystem management.

Hindering our progress, however, is a “functionality crisis.” Coral reef functional ecology to date has lacked a clear and universal definition of the term “function,” and many assumed links between taxa and reef processes lack empirical evidence. Moving forward, we must establish causal links between functional traits, the species that possess them, and specific ecosystem processes if we are to successfully manage Anthropocene reefs. The functional space coral reefs occupy has arguably widened, presenting ethical challenges surrounding the increasingly interventionist management practices required to achieve particular functional endpoints.

For us to steer coral reefs towards a desirable functional future will require a more mechanistic understanding between ecosystem attributes and the provision of services, acknowledging that such services are coproduced by the ecosystem and society. Ultimately, this era in coral reef ecology requires a new approach to coral reef science, one that addresses the complex socio‐ecological nature of coral reefs. These works outline a path ahead for defining and studying the functional ecology of coral reefs, drive debate as to what we want their functional future to look like and call for ecosystem function to be at the heart of managing coral reef futures during this period of rapid transition.
Bifidobacterium bifidum and the infant gut microbiota: an intriguing case of microbe‐host co‐evolution
Authors: Duranti Sabrina , Lugli Gabriele Andrea , Milani Christian , James Kieran , Mancabelli Leonardo , Turroni Francesca , Alessandri Giulia , Mangifesta Marta , Mancino Walter , Ossiprandi Maria Cristina , Iori Alexandra , Rota Claudio , Gargano Giancarlo , Bernasconi Sergio , Di Pierro Francesco , van Sinderen Douwe , Ventura Marco 
Published: June 2019

SummaryBifidobacterium bifidum is reported to be among the first colonizers of the newborn's gastrointestinal tract due to its ability to metabolize human milk oligosaccharides (HMOs). In order to investigate biological features that allow this bifidobacterial species to colonize a newborn, bifidobacterial internally transcribed spacer profiling of stool samples of 50 mother‐infant dyads, as well as corresponding breastmilk samples, was performed. Hierarchical clustering based on bifidobacterial population profiles found in infant faecal samples revealed the presence of four bifidobacterial clusters or the so‐called bifidotypes. Bifidobacterium bifidum was shown to be a key member among bifidotypes, in which its presence correlate with several different bifidobacterial species retrieved in infant faecal samples. For this reason, we investigated cross‐feeding behaviour facilitated by B. bifidum on a bioreactor model using human milk as growth substrate. Transcriptional profiles of this strain were evaluated when grown on nine specific glycans typically constituting HMOs. Remarkably, these analyses suggest extensive co‐evolution with the host and other bifidobacterial species in terms of resource provision and sharing, respectively, activities that appear to support a bifidobacteria‐dominant microbiome.
Measuring individual identity information in animal signals: Overview and performance of available identity metrics
Authors: Linhart Pavel , Osiejuk Tomasz S. , Budka Michał , Šálek Martin , Špinka Marek , Policht Richard , Syrová Michaela , Blumstein Daniel T. 
Published: June 2019

Abstract

Identity signals have been studied for over 50 years but, and somewhat remarkably, there is no consensus as to how to quantify individuality in animal signals. While there is a variety of different metrics to quantify individuality, these methods remain un‐validated and the relationships between them unclear.

We contrasted three univariate and four multivariate identity metrics (and their different computational variants) and evaluated their performance on simulated and empirical datasets.

Of the metrics examined, Beecher's information statistic (HS) performed closest to theoretical expectations and requirements for an ideal identity metric. It could be also easily and reliably converted into the commonly used discrimination score (and vice versa). Although Beecher's information statistic is not entirely independent of study sampling, this problem can be considerably lessened by reducing the number of parameters or by increasing the number of individuals in the analysis.

Because it is easily calculated, has superior performance, can be used to quantify identity information in single variable or in a complete signal and because it indicates the number of individuals who can be discriminated given a set of measurements, we recommend that individuality should be quantified using Beecher's information statistic in future studies. Consistent use of Beecher's information statistic could enable meaningful comparisons and integration of results across different studies of individual identity signals.
Induced indirect defence in a spider–plant system mediated by pericarpial nectaries
Authors: Stefani Vanessa , Alves Vinícius Nunes , Lange Denise 
Published: June 2019

AbstractSome plant species attacked by herbivore species produce additional resources to attract predators and induce an indirect defence process. We evaluated whetherPalicourea rigida(Rubiaceae) individuals can induce indirect defences as response to herbivory simulation by increasing pericarpial nectar production and volatile emissions, as well as whether spiders are attracted by such induced indirect defences. We selected 30P. rigidaindividuals and simulated herbivory in 15 of them by cutting out half of all leaves using pruning shears. We did not manipulate the other 15 plants (control group). At three different times, we measured nectar volume and calories of the pericarpial nectary in the inflorescences of all plants of control and treatment groups. We also quantified spider abundance on these plants. In another experiment, we selected salticid spider,Thiodinasp., to determine whether predators detect chemical tracks of plant volatiles produced by the plant after herbivory simulations. We also tested whether the honey solution could emit olfactory signals capable of attractive spiders. We showed thatP. rigidaproduced higher volume of pericarpial nectar presenting more calories after herbivory simulation. The abundance of spiders was higher in plants subjected to herbivory simulation than control plants.Thiodinasp. did not respond to the volatile chemical tracks produced by the leaves after the simulation, but it had a positive response to olfactory tracks associated with the sucrose solution. Such an outcome indicates the ability of this spider to locate nectar honey plants and olfactory signals of honey. Thus, plants respond to the action of herbivores by producing more pericarpial nectar and nectar with more calories. Although our knowledge about the olfactory physiology of arachnids remains incipient, we highlight the importance of chemical and olfactory tracks for decision‐making of spiders in foraging on plants and the herbivory influence on the behaviour of cursorial spiders.
Histology, histochemistry and ultrastructure of the nasopharyngeal tonsil of the buffalo (Bubalus bubalis)
Authors: Girgiri Ibrahim Alhaji , Kumar Pawan 
Published: June 2019

AbstractThe light microscopic appearance and ultrastructure of the nasopharyngeal tonsil (tonsilla pharyngea), collected from 12 adult buffaloes of local mixed breed, were explored for the distribution of different types of epithelia, lymphoid tissue and high endothelial venules. The tonsillar mucosa was lined by pseudostratified columnar ciliated epithelium having goblet cells. The respiratory epithelium associated with the underlying lymphoid tissue formed the lymphoepithelium. The epithelium was further modified into follicle‐associated epithelium (FAE) characterized by reduced epithelial height, presence of a few dome‐shaped cuboidal cells equivalent of the M‐cells and absence of goblet and ciliated cells. The lymphoid tissue was distributed in the form of isolated lymphoid cells, diffuse lymphoid tissue and lymphoid follicles, mainly distributed within the propria‐submucosa along with the sero‐mucous glandular tissue. The goblet cells of the respiratory epithelium and the acinar cells contained different mucopolysaccharides. Scanning electron microscopy of the surface mucosa demonstrated a dense mat of cilia, island‐like arrangement of microvillus cells, M‐cells and a few brush‐like cells. The transmission electron microscopy revealed the different cell organelles of the respiratory epithelium and the FAE. Lymphocyte migration via the high endothelial venules in the propria‐submucosa was also observed.
How I manage patients with follicular lymphoma
Authors: Casulo Carla 
Published: June 2019

SummaryRecent advances in the treatment of follicular lymphoma (FL) have provided insight into molecular and biological influences on pathogenesis and prognosis. Additionally, numerous available treatment strategies for both newly diagnosed and relapsed disease require thoughtful consideration of patient selection to avoid the burden of overtreatment and toxicities. This review provides a broad overview on our approach to managing patients with low grade FL.
Deep Fluids: A Generative Network for Parameterized Fluid Simulations
Authors: Kim Byungsoo , Azevedo Vinicius C. , Thuerey Nils , Kim Theodore , Gross Markus , Solenthaler Barbara 
Published: June 2019

AbstractThis paper presents a novel generative model to synthesize fluid simulations from a set of reduced parameters. A convolutional neural network is trained on a collection of discrete, parameterizable fluid simulation velocity fields. Due to the capability of deep learning architectures to learn representative features of the data, our generative model is able to accurately approximate the training data set, while providing plausible interpolated in‐betweens. The proposed generative model is optimized for fluids by a novel loss function that guarantees divergence‐free velocity fields at all times. In addition, we demonstrate that we can handle complex parameterizations in reduced spaces, and advance simulations in time by integrating in the latent space with a second network. Our method models a wide variety of fluid behaviors, thus enabling applications such as fast construction of simulations, interpolation of fluids with different parameters, time re‐sampling, latent space simulations, and compression of fluid simulation data. Reconstructed velocity fields are generated up to 700× faster than re‐simulating the data with the underlying CPU solver, while achieving compression rates of up to 1300×.
Learning to Importance Sample in Primary Sample Space
Authors: Zheng Quan , Zwicker Matthias 
Published: June 2019

AbstractImportance sampling is one of the most widely used variance reduction strategies in Monte Carlo rendering. We propose a novel importance sampling technique that uses a neural network to learn how to sample from a desired density represented by a set of samples. Our approach considers an existing Monte Carlo rendering algorithm as a black box. During a scene‐dependent training phase, we learn to generate samples with a desired density in the primary sample space of the renderer using maximum likelihood estimation. We leverage a recent neural network architecture that was designed to represent real‐valued non‐volume preserving (“Real NVP”) transformations in high dimensional spaces. We use Real NVP to non‐linearly warp primary sample space and obtain desired densities. In addition, Real NVP efficiently computes the determinant of the Jacobian of the warp, which is required to implement the change of integration variables implied by the warp. A main advantage of our approach is that it is agnostic of underlying light transport effects, and can be combined with an existing rendering technique by treating it as a black box. We show that our approach leads to effective variance reduction in several practical scenarios.