bluuebunny/crossref_metadata_2025_split huggingface dataset:
Folding membrane proteins by deep transfer learning
Authors: Wang Sheng , Li Zhen , Yu Yizhou , Xu Jinbo 
Published: August 2017

SummaryComputational elucidation of membrane protein (MP) structures is challenging partially due to lack of sufficient solved structures for homology modeling. Here we describe a high-throughput deep transfer learning method that first predicts MP contacts by learning from non-membrane proteins (non-MPs) and then predicting three-dimensional structure models using the predicted contacts as distance restraints. Tested on 510 non-redundant MPs, our method has contact prediction accuracy at least 0.18 better than existing methods, predicts correct folds for 218 MPs (TMscore>0.6), and generates three-dimensional models with RMSD less than 4Å and 5Å for 57 and 108 MPs, respectively. A rigorous blind test in the continuous automated model evaluation (CAMEO) project shows that our method predicted high-resolution three-dimensional models for two recent test MPs of 210 residues with RMSD ∼2Å. We estimated that our method could predict correct folds for 1,345–1,871 reviewed human multi-pass MPs including a few hundred new folds, which shall facilitate the discovery of drugs targeting at membrane proteins.
Representations of rural England in contemporary folk song
Authors: Skinner Heather 
Published: August 2017

Purpose
The purpose of this paper is to explore aural representation of the countryside and English rurality through the contemporary cultural product of folk song.

Design/methodology/approach
A textual analysis was undertaken of the sleeve notes and lyrics of Steve Knightley, songwriter and founder member of the folk/roots band Show of Hands.

Findings
The concept of the rural idyll is thoroughly debunked in the majority of these lyrics. Many songs make specific reference to place, and these, in the main, focus on the historical and contemporary hardships of living in rural England, in many cases also making explicit reference to the historical or contemporary social issues deemed by the lyricist to be at the root of the problems faced by people living in English rural communities.

Research limitations/implications
This paper analyses data obtained in lyrics of only one songwriter within only one music genre, but the artist is one of the most respected within the contemporary folk genre, and Show of Hands have won a number of prestigious nationally recognised folk awards.

Originality/value
The extant literature contains little concerning aural representations of place identities through song. The contribution this paper makes is therefore in presenting a conceptual framework that shows how folk song, as a contemporary cultural product contributes to the construction and communication of rural place identities.
Second wave true Norwegian black metal: an ideologically evil music scene?
Authors: Wallin Jason , Podoshen Jeffrey , Venkatesh Vivek 
Published: August 2017

PurposeThe second wave (true Norwegian) black metal music scene has garnered attention for its ostensible negative impact upon contemporary consumption. Producers and consumers of the scene, as potential heretics, have been associated with acts of church burning, Satanism, murder, and violence. Such actions have circulated under the signifier of evil, and have been associated with anti-Christian semiotics and pagan practices. Contemporary media has positioned such acts of evil beyond rational comprehension via the deployment of a rhetoric of evil. This enframement has evaded the psychoanalytic question of evil and the significant role of negative ethics in theorizing the allure and potential impact of black metal music. The purpose of this paper is to examine the evil in the music scene, its relation to ID evil, and its consumption and production practices.Design/methodology/approachDrawing upon Zizek’s (2006) development of evil through Lacan’s three registers, this paper examines evil production and consumption through a detailed analysis of true Norwegian black metal. The authors rehabilitate the complex corridors of evil against its conceptual collapse as merely the ontological absence of good. Via Zizek, the authors offer a reconsideration of the anti-establishment violent activities enacted by some proponents of black metal ideology. Herein, the authors deploy a reading of ideological evil in order to interrogate the role of enjoyment and desire at work in the black metal scene.FindingsAfter extensive immersion in the true Norwegian black metal scene, the authors elucidate on the key issues surrounding good, evil and Satanism, and their relationships to production and consumption. What many might term as “evil” is far more complex than what appears on the surface-level aesthetics.Originality/valueWhile there have been examinations of the black metal scene, there has been scant literature that delves deep into the symbolism of the Satanic and the evil beyond the surface. This paper sheds light on the value of exploring evil in a scene as something that is much more than the mere absence of what is considered good.
Competitive funding in North Rhine-Westphalia
Authors: Kiese Matthias , Kahl Julian 
Published: August 2017

Purpose
This paper aims to examine a cluster-based strategy implemented in the German federal state of North Rhine-Westphalia under the 2007-2013 “Regional Competitiveness and Employment” programme. Departing from traditional discretionary approaches, a substantial share of the funds was now allocated on a competitive basis. The authors analyse the resulting distribution of funds across stakeholders and sub-regions and try to assess the pros and cons of this process, which constitutes a novel delivery system for cluster policies.

Design/methodology/approach
Following a literature review, the paper applies two sets of regression models to explain the distribution of funds under the new policy delivery system. Interviews with stakeholders provide evidence on the efficacy and efficiency of the competitive funding process.

Findings
The changes introduced in the 2007-2013 funding period benefit universities and research organisations, as well as intermediary organisations, whereas the private sector and especially small firms capture a rather small piece of the pie. Contrary to the “innovation paradox” hypothesis, structurally weak sub-regions did not lose out in state-wide funding contests. The presence of universities with an overall high volume of third-party funding is the key variable explaining the spatial distribution of funds. This interview evidence identifies the duration of the selection process and its administrative complexity as main weaknesses, which the authors attribute to bureaucratic rationality on different levels.

Originality/value
This is the first analysis of a competitive funding scheme at the sub-national level, using the German federal state of North Rhine-Westphalia as a case study. It sheds light on the mechanisms of funding allocation in the 2007-2013 funding period of the European Union’s cohesion policy, which was reoriented towards supporting regional competitiveness and employment in response to the Lisbon Agenda. While competitive funding is still seen as mobilising regional stakeholders and improving the quality of projects and the selection process, these findings highlight administrative complexity as a main deficiency, which has partly been addressed in the 2014-2020 funding period.
Prediction of construction projects’ costs based on fusion method
Authors: Shutian Fang , Tianyi Zhao , Ying Zhang 
Published: August 2017

Purpose
This study aims to predict the construction cost in China, the authors purposed a fused method.

Design/methodology/approach
The authors extracted 22 factors which may influence the cost and performed the correlation analysis with cost. They chose the highest 10 factors to predict cost by the fused method. The method fused the Kalman filter with least squares support vector machine and multiple linear regression.

Findings
Ten factors which affect the cost most were found. The construction cost in China can be predicted by the presented method precisely. The statistical filter method could be used in the field of construction cost prediction.

Research limitations/implications
The construction cost and construction interior factors are a business secret in China. So, the authors only collected 24 buildings’ data to perform the experiments.

Practical implications
There is no standard and precise method to predict construction cost in China, so the presented method offers a new way to judge the feasibility of projects and select design schemes of construction.

Originality/value
The authors purposed a new fused method to predict construction cost. It is the first time that the statistical filtering method was used in this field. The effectiveness was verified by the experiments. Ten factors which have a high relationship with construction cost were found.
Parameter identification of concrete dams using swarm intelligence algorithm
Authors: Dou Siqi , Li Junjie , Kang Fei 
Published: August 2017

Purpose
Parameter identification is an important issue in structural health monitoring and damage identification for concrete dams. The purpose of this paper is to introduce a novel adaptive fireworks algorithm (AFWA) into inverse analysis of parameter identification.

Design/methodology/approach
Swarm intelligence algorithms and finite element analysis are integrated to identify parameters of hydraulic structures. Three swarm intelligence algorithms: AFWA, standard particle swarm optimization (SPSO) and artificial bee colony algorithm (ABC) are adopted to make a comparative study. These algorithms are introduced briefly and then tested by four standard benchmark functions. Inverse analysis methods based on AFWA, SPSO and ABC are adopted to identify Young’s modulus of a concrete gravity dam and a concrete arch dam.

Findings
Numerical results show that swarm intelligence algorithms are powerful tools for parameter identification of concrete structures. The proposed AFWA-based inverse analysis algorithm for concrete dams is promising in terms of accuracy and efficiency.

Originality/value
Fireworks algorithm is applied for inverse analysis of hydraulic structures for the first time, and the problem of parameter selection in AFWA is studied.
Convergence analysis of the nonlinear iterative method for two-phase flow in porous media associated with nanoparticle injection
Authors: El-Amin Mohamed , Kou Jisheng , Sun Shuyu 
Published: August 2017

Purpose
This paper aims to introduce modeling, numerical simulation and convergence analysis of the problem of nanoparticles’ transport carried by a two-phase flow in a porous medium. The model consists of equations of pressure, saturation, nanoparticles’ concentration, deposited nanoparticles’ concentration on the pore-walls and entrapped nanoparticles concentration in pore-throats.

Design/methodology/approach
A nonlinear iterative IMPES-IMC (IMplicit Pressure Explicit Saturation–IMplicit Concentration) scheme is used to solve the problem under consideration. The governing equations are discretized using the cell-centered finite difference (CCFD) method. The pressure and saturation equations are coupled to calculate the pressure, and then the saturation is updated explicitly. Therefore, the equations of nanoparticles concentration, the deposited nanoparticles concentration on the pore walls and the entrapped nanoparticles concentration in pore throats are computed implicitly. Then, the porosity and the permeability variations are updated.

Findings
Three lemmas and one theorem for the convergence of the iterative method under the natural conditions and some continuity and boundedness assumptions were stated and proved. The theorem is proved by induction states that after a number of iterations, the sequences of the dependent variables such as saturation and concentrations approach solutions on the next time step. Moreover, two numerical examples are introduced with convergence test in terms of Courant–Friedrichs–Lewy (CFL) condition and a relaxation factor. Dependent variables such as pressure, saturation, concentration, deposited concentrations, porosity and permeability are plotted as contours in graphs, whereas the error estimations are presented in a table for different values of the number of time steps, number of iterations and mesh size.

Research limitations/implications
The domain of the computations is relatively small; however, it is straightforward to extend this method to the oil reservoir (large) domain by keeping similar definitions of CFL number and other physical parameters.

Originality/value
The model of the problem under consideration has not been studied before. Also, both solution technique and convergence analysis have not been used before with this model.
A short remark on Kalaawy’s variational principle for plasma
Authors: Li Ya , He Chun-Hui 
Published: August 2017

Purpose
This paper aims to show how to establish a variational formulation directly from the governing equations. A modified Burger equation arising in dusty plasma is used as an example to show the derivation process.

Design/methodology/approach
Ji-Huan He’s semi-inverse method is adopted in the derivation process. To effectively use the semi-inverse method, a potential function is introduced, and the trial functional is constructed with some nonzero parameters, which are such identified that the stationary conditions satisfy the governing equations.

Findings
The derivation is simple, and the obtained variational principle is conciser than that obtained by Kalaawy, who introduced two special functions.

Originality/value
This paper suggests an effective approach to the inverse problem of the calculus of variations.
Application of Kano model to identification of wine festival satisfaction drivers
Authors: Velikova Natalia , Slevitch Lisa , Mathe-Soulek Kimberly 
Published: August 2017

Purpose
Practitioners and researchers are persistently trying to identify critical product/service attributes that generate greater customer satisfaction, which in turn yields multiple positive outcomes for the business. However, traditional measuring of attribute performance does not account for a non-linear nature of the relationship between attribute performance and customer satisfaction. The purpose of this paper is to apply an alternative method – penalty-reward contrast analysis (PRCA) grounded in Kano model – to a wine festival setting and to estimate the effects of each attribute on the overall satisfaction.

Design/methodology/approach
The aim of the study is to use a self-administered survey distributed to attendees of a large wine festival in the USA, resulting in a sample of 250 festival attendees.

Findings
Personnel and entertainment were considered “must-be” or basic factors for wine festivals. Failing to deliver on these dimensions will lead to attendees’ frustration and is likely to outweigh positive impact of other factors. Wine was considered to be a linear, or performance, factor with symmetrical positive and negative impact on satisfaction. Food and facilities were non-significant in predicting customer satisfaction.

Practical implications
Given that most wine festivals operate with rather scarce resources in a competitive environment, using an approach that helps determine how limited resources are best deployed to achieve the highest levels of customer satisfaction is beneficial for the industry. The study provides new insights to wine festivals managers as to how drivers of satisfaction may vary according to attributes of both the festival and the attendees.

Originality/value
The study adopts the novel approach of the PRCA in its application to wine festivals, making the study unique and noteworthy. It brings new knowledge about quality components of wine festivals and adds support to the new evaluation tool.
Chinese travelers’ behavioral intentions toward room-sharing platforms
Authors: Wu Jiang , Zeng Minne , Xie Karen L. 
Published: August 2017

Purpose
Although room-sharing platforms such as Airbnb have become globally prevalent business phenomena, no cross-cultural research has been conducted to examine how travelers outside the “Western Bubble” perceive and respond to this sharing economy. The purpose of this paper is to explore factors that affect Chinese travelers’ behavioral intentions toward room-sharing platforms in the sharing economy.

Design/methodology/approach
Based on theories of motivation, the influences on travelers of utilitarian and hedonic motivation, perceived trust and past experience were investigated. Considering the characteristics of room-sharing, utilitarian motivation is measured by service experience, information acquisition, cost saving and resource efficiency. Hedonic motivation is measured by adventure, gratification, sharing and friend-seeking. Data were collected in online survey from 445 valid samples and analyzed by partial least squares (PLS) regression approach using SmartPLS 3.0.

Findings
The findings indicate that although intensity varies, utilitarian motivation, hedonic motivation and perceived trust do have positive effects on tourists’ behavioral intentions. Past experience with room-sharing moderates these effects.

Originality/value
There is scant research about consumers’ behaviors toward a sharing economy in Western countries and no empirical research in this field with analyses of Chinese consumers, although China is an emerging market in the hospitality industry. None of the previous research was based on theories of motivation and trust, especially without a consideration of the moderating effect of past experience. Therefore, this study aims to narrow these gaps and to combine, organize and extend previous studies to improve the analysis of behavioral intention in the sharing economy. The value of this study lies in the research model and analysis with the backdrop of China.
The potential for tourism and hospitality experience research in human-robot interactions
Authors: Tung Vincent Wing Sun , Law Rob 
Published: August 2017

PurposeThe purpose of this study is to review recent work in the robotics literature and identify future opportunities for consumer/tourist experience research in human-robot interactions (HRIs).Design/methodology/approachThe paper begins by covering the framework of robotic agent presence and embodiment that are relevant for HRI. Next, the paper identifies future opportunities for hospitality and tourism scholars to undertake consumer/tourist experience research in HRIs.FindingsThe result of this study provided potential directions for advancing theoretical, methodological and managerial implications for tourism experience research in HRI.Research limitations/implicationsConcepts from robotics research are diffusing into a range of disciplines, from engineering to social sciences. These advancements open many unique, yet urgent, opportunities for hospitality and tourism research.Practical implicationsThis paper illustrates the speed at which robotics research is progressing. Moreover, the concepts reviewed in this research on robotic presence and embodiment are relevant for real-world applications in hospitality and tourism.Social implicationsDevelopments in robotics research will transform hospitality and tourism experiences in the future.Originality/valueThis research is one of the early papers in the field to review robotics research and provide innovative directions to broaden the interdisciplinary perspective for future hospitality and tourism research.
Considerations for using data envelopment analysis for the assessment of radiotherapy treatment plan quality
Authors: Simpson John , Raith Andrea , Rouse Paul , Ehrgott Matthias 
Published: August 2017

Purpose
The operations research method of data envelopment analysis (DEA) shows promise for assessing radiotherapy treatment plan quality. The purpose of this paper is to consider the technical requirements for using DEA for plan assessment.

Design/methodology/approach
In total, 41 prostate treatment plans were retrospectively analysed using the DEA method. The authors investigate the impact of DEA weight restrictions with reference to the ability to differentiate plan performance at a level of clinical significance. Patient geometry influences plan quality and the authors compare differing approaches for managing patient geometry within the DEA method.

Findings
The input-oriented DEA method is the method of choice when performing plan analysis using the key undesirable plan metrics as the DEA inputs. When considering multiple inputs, it is necessary to constrain the DEA input weights in order to identify potential plan improvements at a level of clinical significance. All tested approaches for the consideration of patient geometry yielded consistent results.

Research limitations/implications
This work is based on prostate plans and individual recommendations would therefore need to be validated for other treatment sites. Notwithstanding, the method that requires both optimised DEA weights according to clinical significance and appropriate accounting for patient geometric factors is universally applicable.

Practical implications
DEA can potentially be used during treatment plan development to guide the planning process or alternatively used retrospectively for treatment plan quality audit.

Social implications
DEA is independent of the planning system platform and therefore has the potential to be used for multi-institutional quality audit.

Originality/value
To the authors’ knowledge, this is the first published examination of the optimal approach in the use of DEA for radiotherapy treatment plan assessment.
Factors influencing land title registration practice in Osun State, Nigeria
Authors: Ekemode Benjamin Gbolahan , Adegoke Oluseyi Joshua , Aderibigbe Adetunji 
Published: August 2017

Purpose
The registration of land titles is an important component of title documentation and certification process that is influenced by a variety of factors. The purpose of this paper is, therefore, to examine factors influencing land title registration practice in Osun State, Nigeria.

Design/methodology/approach
Data used for this paper were collected from 520 land title registration applicants, representing 48.10 per cent of the total number of applicants for land title/property rights registration in Osun State, Southwestern Nigeria, using systematic random sampling technique, with sampling interval k = 5. Data collected were analyzed using descriptive and inferential statistical techniques, such as frequency distribution and percentages, relative importance index (RII) and factor analysis.

Findings
The findings revealed that factors such as high cost of title documentation and corrupt practices of land registry staff had significant influence on land title/property rights registration process, while factors such as suitability of organizational structure and personnel competence/low morale had less influence on land title registration in the study area.

Practical implications
The findings of this paper suggest the inadequacies inherent in the land title registration process in the study area which has significant implications for land titling registration process in Osun State, the entire Nigerian state and other emerging African economies.

Originality/value
The paper is one of the few papers that analyzed the factors influencing land title registration from the perspective of end-users in an emerging African economy like Nigeria.