bluuebunny/crossref_metadata_2025_split huggingface dataset:
GSR: geometrical scan registration algorithm for robust and fast robot pose estimation
Authors: Shamsfakhr Farhad , Sadeghi Bigham Bahram 
Published: September 2020

Purpose
In this paper, an attempt has been made to develop an algorithm equipped with geometric pattern registration techniques to perform exact, robust and fast robot localization purely based on laser range data.

Design/methodology/approach
The expected pose of the robot on a pre-calculated map is in the form of simulated sensor readings. To obtain the exact pose of the robot, segmentation of both real laser range and simulated laser range readings is performed. Critical points on two scan sets are extracted from the segmented range data and thereby the pose difference is computed by matching similar parts of the scans and calculating the relative translation.

Findings
In contrast to other self-localization algorithms based on particle filters and scan matching, the proposed method, in common positioning scenarios, provides a linear cost with respect to the number of sensor particles, making it applicable to real-time resource-limited embedded robots. The proposed method is able to obtain a sensibly accurate estimate of the relative pose of the robot even in non-occluded but partially visible segments conditions.

Originality/value
A comparison of state-of-the-art localization techniques has shown that geometrical scan registration algorithm is superior to the other localization methods based on scan matching in accuracy, processing speed and robustness to large positioning errors. Effectiveness of the proposed method has been demonstrated by conducting a series of real-world experiments.
High traditional Asian vegetables(ulam) intake relates to better nutritional status, cognition and mood among aging adults from low-income residential areas
Authors: You Yee Xing , Shahar Suzana , Haron Hasnah , Yahya Hanis Mastura , Che Din Normah 
Published: September 2020

PurposeAging adults from low-income residential areas were found to have poor nutritional status and mental health based on National Health and Morbidity Survey Malaysia (2015). Good nutrient intake contributes positively in averting these problems. Traditional Asian vegetables (ulam) are rich in polyphenols, antioxidants and fibres which could enhance nutritional status and mood state. This study intended to determine the relationship between habitual ulam intake and nutritional status, mood state and cognition among 252 aging Malaysian adults aged 45–80 years from the low-income residential areas in Klang Valley, Malaysia.Design/methodology/approachIt was a cross-sectional study that used convenient sampling. Advertisement and invitation letters were sent to three selected community centres in Klang Valley prior to data collection. Informed consent was obtained prior to the collection of socio-demographic data. Anthropometric measurement was performed as per standard protocols. Validated surveys were conducted to obtain information on ulam consumption, mood state and cognitive status using validated food frequency questionnaires, Profile of Mood State and Mini-Mental State Examination questionnaires, respectively.FindingsThe average of ulam intake was 20.5 ± 2.5 g/day (½ serving daily). Habitual ulam intake was associated with lower waist circumference (R2 = 0.166, β = −0.216, p < 0.01), better MMSE scores (R2 = 0.337, β = 0.128, p < 0.05), less anger (R2 = 0.081, β = −0.116, p < 0.05), less tension (R2 = 0.139, β = −0.204, p < 0.01) and positive total mood disturbance (R2 = 0.095, β = 0.164, p < 0.05) after adjustment for gender, age, energy intake, total fruits and vegetables (non-ulam) consumption. The ulam intake at 100th percentile (=30g/day) associated to a better nutritional status, mood state and cognitive status in comparison to 25th percentile (<7.9 g/day) (p < 0.05).Originality/valueFindings from this research would recommend people to consume not less than 1 serving of ulam everyday in order to have improved nutritional status, mood and cognition; nonetheless, future studies are required to clarify the causal mechanism concerning this relationship.
Interdiscursivity in corporate financial communication: an analysis of earnings videos
Authors: Rajandran Kumaran 
Published: September 2020

PurposeFinancial communication produces various texts, among which are earnings videos. The videos employ language and image in multimodal discourses to convey specific social meanings about corporate performance. The purpose of this paper is to select earnings videos and study their incorporated genres, styles and discourses.Design/methodology/approachInterdiscursivity permits hybridity because it mixes the choice of genres, styles or discourses. An interdiscursive analysis is conducted on earnings videos in English, French and Spanish from corporations in the global finance industry. It involved three sequential stages: (1) to detect the discourses, (2) to name the discourses and (3) to consider the function of the discourses.FindingsEarnings videos are hybrid because interview and presentation genres, formal and casual styles and the discourses of financial accounting, strategic management and public relations are encountered. The genres, styles and discourses are interwoven to create an interdiscursive mix, which constructs earnings through a (pseudo)personal social relation and easified discourses. The multimodal discourses convey robust corporate performance in an interim, and their use is symptomatic of marketization. Corporations may “market” their performance to seem like a worthwhile investment to persuade (potential) investors.Originality/valueThe paper enriches existing research in financial communication because it studies how multimodal discourses in earnings videos are tailored for marketization. The videos have not been analyzed, and their analysis complements earlier studies on other financial communication texts. The analysis examines discourses through language and image features, whose co-deployment conveys meaning about corporations.
Political sensitivity and government oversight in the US corporate bond market: evidence from federal contractors
Authors: Craig Karen Ann , Hadley Brandy 
Published: September 2020

PurposeThis paper aims to investigate the political cost hypothesis and the effects of political sensitivity-induced governance in the US bond market by using yield spreads from bonds issued by a diverse sample of US government contractors.Design/methodology/approachFixed effects regression analysis is used to test the relation between the political sensitivity of government contractor firms and their cost of debt.FindingsResults illustrated that government contractors with greater political sensitivity are associated with larger yield spreads, indicating that bondholders require a premium when firms endure the costs of increased political oversight and the threat of outside intervention, reducing the certainty of future income. However, despite the overall positive impact of political sensitivity on bond yield spreads on average, the authors found that the additional government oversight is associated with lower spreads when the firm is facing greater repayment risk.Practical implicationsDespite the benefits of winning a government contract, this paper identifies a direct financial cost of increased political sensitivity because of additional firm oversight and potential intervention. Importantly, it also finds that this governance is valued by bondholders when faced with increased risk. Firms must balance their desire for government receipts with the costs and benefits of dependence on those expenditures.Originality/valueThis paper contributes to the literature in its exploration of political sensitivity as an important determinant of the cost of debt for corporate government contractors. Specifically, the authors document a significant risk premium in bond pricing because of the joint effects of the visibility and importance of government contracts to the firm.
Exploring consumer–brand engagement: a holistic framework
Authors: Cheung Man Lai , Pires Guilherme D. , Rosenberger III Philip J. 
Published: September 2020

Purpose
This paper aims to investigate the causal relationships between constructs related to consumer–brand engagement (CBE), including consumers’ enduring involvement, ongoing information search behaviour, online engagement behaviour and brand attitude in Hong Kong.

Design/methodology/approach
The theoretical framework is tested using data from 302 customers of a durable technology product, a smartphone, in Hong Kong, collected using a self-administered online survey. Partial least squares-structural equation modelling was used to analyse the data.

Findings
The results reveal that consumers’ enduring involvement and ongoing information search behaviour are key drivers of CBE, ultimately enhancing customers’ brand attitude. The importance of enduring involvement in strengthening ongoing search behaviour, online engagement behaviour and CBE is confirmed, together with the importance of ongoing search behaviour in strengthening CBE. Further analysis demonstrated the full mediating role of ongoing search behaviour in the relationship between enduring involvement and online engagement behaviour, such that CBE fully mediates the impact of ongoing search behaviour on brand attitude.

Research limitations/implications
The research contributes to the extant literature by providing an understanding of how to strengthen CBE for durable technology products, such as smartphones. However, this study is cross-sectional in nature, focusing on smartphones in Hong Kong only. Thus, future research should consider comparisons between countries with diverse cultures as well as other industries, such as the service sector, to enhance the generalisability of the study’s findings.

Practical implications
Marketers should seek to heighten customers’ involvement levels by encouraging customer–brand interactions, which is not only useful in encouraging customers’ ongoing search and online engagement behaviour but also critical in strengthening CBE. Additionally, marketers are recommended to encourage customers’ ongoing search behaviour (at the category level), which is useful in encouraging consumers’ online engagement behaviour as well as strengthening CBE.

Originality/value
The role of ongoing search behaviour in brand building has received little attention in the branding literature. This paper makes a noteworthy contribution to CBE research by empirically testing a holistic framework, confirming that enduring involvement and ongoing search behaviour are critical drivers in the process of strengthening CBE. This paper also demonstrates the mediation roles of ongoing search behaviour and CBE in the holistic framework.
Manufacturing intelligent Corvus corone module for a secured two way image transmission under WSN
Authors: Alhayani Bilal , Abdallah Abdallah Ali 
Published: September 2020

Purpose
The manufacturing of intelligent and secure visual data transmission over the wireless sensor network is key requirement nowadays to many applications. The two-way transmission of image under a wireless channel needed image must compatible along channel characteristics such as band width, energy-efficient, time consumption and security because the image adopts big space under the device of storage and need a long time that easily undergoes cipher attacks. Moreover, Quizzical the problem for the additional time under compression results that, the secondary process of the compression followed through the acquisition consumes more time.

Design/methodology/approach
Hence, for resolving these issues, compressive sensing (CS) has emerged, which compressed the image at the time of sensing emerges as a speedy manner that reduces the time consumption and saves bandwidth utilization but fails under secured transmission. Several kinds of research paved path to resolve the security problems under CS through providing security such as the secondary process.

Findings
Thus, concerning the above issues, this paper proposed the Corvus corone module two-way image transmission that provides energy efficiency along CS model, secured transmission through a matrix of security under CS such as inbuilt method, which was named as compressed secured matrix and faultless reconstruction along that of eminent random matrix counting under CS.

Originality/value
Experimental outputs shows intelligent module gives energy efficient, secured transmission along lower computational timing also decreased bit error rate.
An h-version adaptive FEM for eigenproblems in system of second order ODEs: vector Sturm-Liouville problems and free vibration of curved beams
Authors: Wang Yongliang 
Published: September 2020

Purpose
This study aims to overcome the involved challenging issues and provide high-precision eigensolutions. General eigenproblems in the system of ordinary differential equations (ODEs) serve as mathematical models for vector Sturm-Liouville (SL) and free vibration problems. High-precision eigenvalue and eigenfunction solutions are crucial bases for the reliable dynamic analysis of structures. However, solutions that meet the error tolerances specified are difficult to obtain for issues such as coefficients of variable matrices, coincident and adjacent approximate eigenvalues, continuous orders of eigenpairs and varying boundary conditions.

Design/methodology/approach
This study presents an h-version adaptive finite element method based on the superconvergent patch recovery displacement method for eigenproblems in system of second-order ODEs. The high-order shape function interpolation technique is further introduced to acquire superconvergent solution of eigenfunction, and superconvergent solution of eigenvalue is obtained by computing the Rayleigh quotient. Superconvergent solution of eigenfunction is used to estimate the error of finite element solution in the energy norm. The mesh is then, subdivided to generate an improved mesh, based on the error.

Findings
Representative eigenproblems examples, containing typical vector SL and free vibration of beams problems involved the aforementioned challenging issues, are selected to evaluate the accuracy and reliability of the proposed method. Non-uniform refined meshes are established to suit eigenfunctions change, and numerical solutions satisfy the pre-specified error tolerance.

Originality/value
The proposed combination of methodologies described in the paper, leads to a powerful h-version mesh refinement algorithm for eigenproblems in system of second-order ODEs, that can be extended to other classes of applications in damage detection of multiple cracks in structures based on the high-precision eigensolutions.
Tuning into rebellious matter: affective literacies as more-than-human sonic bodies
Authors: Dernikos Bessie Patricia 
Published: September 2020

PurposeThe purpose of this paper is to explore the sonic vibrations, infectious rhythms and alternative frequencies that are often unheard and overlooked within mainstream educational spaces, that is, perceptually coded out of legibility by those who read/see/hear the world through “whiteness.”Design/methodology/approach“Plugging into” (Jackson and Mazzei, 2012) posthuman theories of affect (Deleuze and Guattari, 1987; Henriques, 2010) and assemblage (Weheliye, 2014), the author argues that “literate bodies,” along with all forms of matter, continually vibrate, move, swell and rebel (Deleuze, 1990), creating momentum that is often difficult not to get tangled up in.FindingsThis paper maps out how a specific sociohistorical concept of sound works to affectively orient bodies and impact student becomings, namely, by producing students as un/successful readers and in/human subjects. At the same time, the author attends to the subtle ways by which first graders rebelliously move (d) with alternative sonic frequencies to resist/disrupt mandated literacy curricula and white, patriarchal ways of knowing, being and doing.Originality/valueThis paper highlights the political nature of sound and how, within mainstream educational spaces, certain sonic frequencies become coded out of white supremacist models for knowledge transmission, which re/produce racialized (gendered, classist, etc.) habits and practices of listening/hearing. Literacy educators are invited to “(re)hear” the social in more just ways (James, 2020) by sensing the affects and effects of more-than-human “sonic bodies” (Henriques, 2011), which redirect us to alternative rhythms, rationalities, habits and practices that challenge normative conceptions of what counts as literacy and who counts as successfully literate.
Water pipe failure prediction using AutoML
Authors: Zhang Cheng , Ye Zehao 
Published: September 2020

Purpose
Owing to the consumption of considerable resources in developing physical pipe prediction models and the fact that the statistical models cannot fit the failure records perfectly, the purpose of this paper is to use data mining method to analyze and predict the risks of water pipe failure via considering attributes and location of pipes in historical failure records. One of the Automatized Machine Learning (AutoML) methods, tree-based pipeline optimization technique (TPOT) was used as the key data mining technique in this research.

Design/methodology/approach
By considering pipeline attributes, environmental factors and historical pipeline broke/breaks records, a water pipeline failure prediction method is proposed in this research. Regression analysis, genetic algorithm, machine learning, data mining approaches are used to analyze and predict the probability of pipeline failure. TPOT was used as the key data mining technique. A case study was carried out in a specific area in China to investigate the relationships between pipeline broke/breaks and relevant parameters, such as pipeline age, materials, diameter, pipeline density and so on.

Findings
By integrating the prediction models for individual pipelines and small research regions, a prediction model is developed to describe the probability of water pipe failures and validated by real data. A high fitting degree is achieved, which means a good potential of using the proposed method in reality as a guideline for identifying areas with high risks and taking proactive measures and optimizing the resources allocation for water supply companies.

Originality/value
Different models are developed to have better prediction on regional or individual pipeline. A comparison between the predicted values with real records has shown that a preliminary model has a good potential in predicting the future failure risks.
Understanding the relationships between distances and herd behavior in online reviews: the moderating effects of hospitality experience
Authors: Xue Fujing , Dong Longzhu , Gao Baojun , Yu Zhen , Taras Vasyl 
Published: September 2020

PurposeThis study aims to investigate the determinants of herd behavior in online hotel service evaluations, focusing on the cultural and geographic distance characteristics of customers.Design/methodology/approachOn the basis of 381,462 TripAdvisor reviews of hotels in the USA written by more than 100,000 customers from 92 countries, this study uses the empirical analysis to explore the collective roles of cultural distance, geographic distance and hospitality experience on herd behavior in online hotel ratings.FindingsCultural and geographic distances between customers and product and service locations positively affect herding and these two effects are substitutable. The hospitality experience of customers attenuates the impacts of distances on herding. These results are robust for multiple hotel service ratings.Practical implicationsFindings help hotels understand perceptual biases of customers on hotel services under the social influence and consequently develop effective marketing strategies to boost hotel revenues and increase profitability.Originality/valueThe research contributes to hospitality and online review literature by understanding how cultural and geographic distances shape online hotel service evaluations under the root of the uncertainty of decision-making and the observation of others’ behavior. The research also contributes to the distances in international business literature by deepening the understanding of the substitution and heterogeneity of distance effects. Methodologically, a time-varying and monotonously increasing variable is constructed to depict customers’ hospitality experience. The extensive data volume ensures the generalizability of our results.
Insolvency and Bankruptcy Code 2016: revisiting with market reality
Authors: Deb Shakti , Dube Indrajit 
Published: September 2020

PurposeThis paper aims to revisit the Indian experience on corporate bankruptcy law to answer “why Indian corporate insolvency law structured differently from a manager-driven (pre-Insolvency Code) to manager-displacing model (post-Insolvency Code)?”Design/methodology/approachThis paper is qualitative in nature. The paper analyses the prevailing theoretical wisdom in corporate insolvency law in India and examines the practices of Indian bankruptcy regime.FindingsThe authors argued, considering the corporate ownership composition, the Insolvency and Bankruptcy Code 2016 will not accomplish the intended objective (i.e. the “creditor primacy”). The findings refute with the evolutionary theory, i.e. debt and equity both will tend towards dispersion in outsider system of governance.Originality/valueThis paper put forward the imprint that Indian corporate insolvency regime is manager-displacing under Law on Books and manager-driven under Law on Practice.
Liability of employers for third party harassment in the UK
Authors: Middlemiss Sam 
Published: September 2020

Purpose
This paper aims to summarise current law dealing with third party harassment in workplaces in the UK and make recommendations for improving law.

Design/methodology/approach
Review of case law, articles etc.

Findings
It is found that the current law is inadequate and unclear, and in dire need of reform.

Research limitations/implications
This research study will be useful for trade unions and employers and employees and workers.

Practical implications
This study supports the cause of reform of the law.

Originality/value
To the best of the author’s knowledge, this study is an original piece of work.
Congruence in perceived overqualification of team members and organizational identification
Authors: Chu Fulei 
Published: September 2020

PurposeDrawing on the equity theory and self-categorization theory, the authors examine the congruence effect of perceived self-overqualification and perceived coworker-overqualification on team–member exchange (TMX) quality, which in turn influences employees' organizational identification.Design/methodology/approachThe data were collected from 392 employees in 78 teams at 2 time points, and polynomial regressions was used to test the hypothesized associations.FindingsThe more consistent perceived self-overqualification is with perceived coworker-overqualification, the higher quality of TMX. Moreover, TMX mediates the relationship between this congruence on organizational identification, which indicates that the congruence of perceived overqualification is related to higher-quality TMX, and then makes overqualified employees produce higher levels of organizational identification.Originality/valueThe findings of the research contributes to theory building of perceived overqualification through distinguishing perceived overqualification as an individual characteristic from the perception of overqualification that occurs in teams. Besides, by analyzing employees' experiences of overqualification in the context of their colleague-group, this study demonstrates the importance of considering overqualified individuals' social context (e.g. the composition of teams) in exploring the consequences of perceived overqualification. Theoretical and practical implications are discussed.