bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structures of PKA-phospholamban complexes reveal a mechanism of familial dilated cardiomyopathy
Authors: Qin Juan , Zhang Jingfeng , Lin Lianyun , Haji-Ghassemi Omid , Lin Zhi , Woycechowsky Kenneth J. , Petegem Filip Van , Zhang Yan , Yuchi Zhiguang 
Published: November 2021

AbstractSeveral mutations identified in phospholamban (PLN) have been linked to familial dilated cardiomyopathy (DCM) and heart failure, yet the underlying molecular mechanism remains controversial. PLN interacts with sarco/endoplasmic reticulum Ca2+-ATPase (SERCA) and regulates calcium uptake, which is modulated by the protein kinase A (PKA)-dependent phosphorylation of PLN during the fight-or-flight response. Here, we present the crystal structures of the catalytic domain of PKA in complex with wild-type and DCM-mutant PLNs. Our structures, combined with the results from other biophysical and biochemical assays, reveal a common disease mechanism: the mutations in PLN reduce its phosphorylation level by changing its conformation and weakening its interactions with PKA. In addition, we demonstrate that another more ubiquitous SERCA-regulatory peptide, called another-regulin (ALN), shares a similar mechanism mediated by PKA in regulating SERCA activity.SignificanceDilated cardiomyopathy (DCM) is a common type of heart disease. Familial DCM is associated with mutations on phospholamban (PLN), but the mechanism remains elusive. Phosphorylation of PLN is known to influence its physiological function. We hypothesize that the connection between such mutations and DCM may involve decreased PLN phosphorylation levels due to less efficient binding to protein kinase A. We utilize x-ray crystallography, SPR, enzyme kinetic assays, thermal melt assays, and NMR to examine the structural and energetic consequences for PKA-catalyzed phosphorylation of PLN variants containing DCM-associated mutations. Our results provide a foundation to understand the general working mechanism of PKA and the physiological regulation of PLN by PKA, and also provide important insight into the pathological mechanism of DCM.
Assembly variation analysis of the non-rigid assembly with a deformation gradient model
Authors: Ajani Ibrahim , Lu Cong 
Published: November 2021

Purpose
This paper aims to develop a mathematical method to analyze the assembly variation of the non-rigid assembly, considering the manufacturing variations and the deformation variations of the non-rigid parts during the assembly process.

Design/methodology/approach
First, this paper proposes a deformation gradient model, which represents the deformation variations during the assembly process by considering the forces and the self-weight of the non-rigid parts. Second, the developed deformation gradient models from the assembly process are integrated into the homogenous transformation matrix to model the deformation variations and manufacturing variations of the deformed non-rigid part. Finally, a mathematical model to analyze the assembly variation propagation is developed to predict the dimensional and geometrical variations due to the manufacturing variations and the deformation variations during the assembly process.

Findings
Through the case study with a crosshead non-rigid assembly, the results indicate that during the assembly process, the individual deformation values of the non-rigid parts are small. However, the cumulative deformation variations of all the non-rigid parts and the manufacturing variations present a target value (w) of −0.2837 mm as compared to a target value of −0.3995 mm when the assembly is assumed to be rigid. The difference in the target values indicates that the influence of the non-rigid part deformation variations during the assembly process on the mechanical assembly accuracy cannot be ignored.

Originality/value
In this paper, a deformation gradient model is proposed to obtain the deformation variations of non-rigid parts during the assembly process. The small deformation variation, which is often modeled using a finite-element method in the existing works, is modeled using the proposed deformation gradient model and integrated into the nominal dimensions. Using the deformation gradient models, the non-rigid part deformation variations can be computed and the accumulated deformation variation can be easily obtained. The assembly variation propagation model is developed to predict the accuracy of the non-rigid assembly by integrating the deformation gradient models into the homogeneous transformation matrix.
Systematic review of manufacturing strategy studies focusing on congruence aspect
Authors: Dohale Vishwas , Akarte Milind M. , Verma Priyanka 
Published: November 2021

PurposeThis study provides a systematic review of the literature within the manufacturing strategy (MS) domain focusing on the congruence aspect of different strategic functions to determine the state-of-the-art research progression and the trend of publications.Design/methodology/approachWe have adopted a five-stage review methodology consisting - 1) Article Identification; 2) Inclusion/Exclusion; 3) Review of the Articles; 4) Literature Analysis; 5) Future research directions. 121 articles focusing on congruence aspects and specific to the MS domain are identified and reviewed. Bibliometric analysis comprising keyword co-occurrence using a VOSviewer© software, and citation analysis is performed. Further, content analysis is carried out to categorize articles based on the type of research methodology, type of tool/method used, and aspects considered for congruence study.FindingsBased on the research gaps identified in the existing literature on the congruence aspect within the MS domain, this study offers future research directions. Majorly, the work found is an empirical survey. Literature scants to develop a framework that helps to quantify the congruence between two strategic functions.Research limitations/implicationsThis study facilitates researchers and practitioners to understand the congruence between different strategic aspects studied in the literature and the level of fit between them. Further, the identified research directions can encourage researchers and practitioners to conceive novel approaches to conduct future works on congruence theme.Originality/valueThe unicity of the current review lies in its theme, i.e. congruence aspect within MS. To the best of author's knowledge, no comparable study is observed to review the congruence aspect in any other domain.
Past, present and future of bank marketing: a bibliometric analysis of International Journal of Bank Marketing (1983–2020)
Authors: Kumar Satish , Xiao Jing Jian , Pattnaik Debidutta , Lim Weng Marc , Rasul Tareq 
Published: November 2021

PurposeThis study aims to provide an overview of bank marketing through a retrospection of the International Journal of Bank Marketing (IJBM), the leading journal for bank marketing.Design/methodology/approachThis study conducts a bibliometric analysis to analyze the performance and intellectual structure of bank marketing literature curated through IJBM between 1983 and 2020.FindingsThis study sheds light on the growing influence and impact of IJBM on the field of bank marketing through six major clusters (themes): relationship marketing and service quality in banking and financial services, consumer behavior in banking and financial services, customer satisfaction and loyalty in banking and financial services, electronic or online banking and financial services, Islamic banking and financial services, and service failure and recovery in banking and financial services.Research limitations/implicationsThough this study offers a state-of-the-art overview of bank marketing through the lens of IJBM, the insights remain limited to the accuracy and availability of bibliographic data of the journals from Scopus.Originality/valueTo the best of the authors' knowledge, this study represents the first objective assessment of bank marketing and IJBM. Thus, this study should be useful to past and prospective authors, editorial board members, editors, readers and reviewers to gain a one-stop understanding about bank marketing through the contributions of IJBM.
Laser vision seam tracking system based on proximal policy optimization
Authors: Zou Yanbiao , Zhou Hengchang 
Published: November 2021

Purpose
This paper aims to propose a weld seam tracking method based on proximal policy optimization (PPO).

Design/methodology/approach
By constructing a neural network based on PPO and using the reference image block and the image block to be detected as the dual-channel input of the network, the method predicts the translation relation between the two images and corrects the location of feature points in the weld image. The localization accuracy estimation network (LAE-Net) is built to update the reference image block during the welding process, which is helpful to reduce the tracking error.

Findings
Off-line simulation results show that the proposed algorithm has strong robustness and performs well on the test set of curved seam images with strong noise. In the welding experiment, the movement of welding torch is stable, the molten material is uniform and smooth and the welding error is small, which can meet the requirements of industrial production.

Originality/value
The idea of image registration is applied to weld seam tracking, and the weld seam tracking network is built on the basis of PPO. In order to further improve the tracking accuracy, the LAE-Net is constructed and the reference images can be updated.
Revisiting earnings quality and bank efficiency among East African developing economies: do systemic banking and financial crises matter?
Authors: Mathuva David Mutua , Nyangu Moses Nzuki 
Published: November 2021

PurposeIn this paper, the authors investigate whether the systemic local banking crises (LBCs) and global financial crisis (GFC) impact the association between bank profit efficiency and earnings quality in developing economies.Design/methodology/approachUsing panel data spanning 29 years over the period 1991–2019 for 169 banks drawn from five East African countries, the authors perform difference-in-difference multivariate analyses using the generalised method of moments (GMM) system estimator on a sample consisting of 2,261 bank-year observations.FindingsThe results, which are robust for endogeneity and other checks, show that banks with higher profit efficiency consistently report higher quality earnings. The authors further establish that whereas systemic LBCs contribute negatively to bank earnings quality, the GFC tends to have a positive impact. These results are upheld when the joint impacts of both systemic LBCs, GFC and profit efficiency on earnings quality are considered. The positive influence of profit efficiency and GFC on earnings quality is pronounced under income-decreasing earnings management. The impacts of profit efficiency, LBCs and GFC on earnings quality appear to be non-monotonic and vary across the sampled countries.Research limitations/implicationsThe study's findings are based on banks in five developing countries within a regional economic bloc. Additional studies could focus on other economic blocs for enhanced generalisability of the findings. In addition, some of the variables examined are studied at bank-level, while other variables are at country-level. Finally, the study establishes an association between the variables of interest, and this does not necessarily imply causation.Practical implicationsThe results provide useful insights to bank regulatory and supervisory agencies on the need to exercise increased risk-based scrutiny over bank loan loss provisioning and minimum loan loss reserve requirements. From an audit perspective, auditors need to be cautious and apply an enhanced risk-based audit especially when auditing banks during and after a financial, banking or systemic crisis. Credit rating agencies need to pay closer attention to the LLPs of distressed banks. Finally, bank investors and customers should be cautious when using bank financial statements, since bank managers of poorly performing banks might engage in aggressive earnings management.Originality/valueThe study is perhaps the first to examine the joint effects of systemic LBCs on the association between bank profit efficiency and the quality of earnings in a larger dataset of banks in a developing regional economic bloc. The authors also employ the GMM system estimator in the modelling, which helps address some weaknesses in prior studies.
Why do SMEs switch suppliers?
Authors: López-Jáuregui Angel , Martos-Partal Mercedes , Labeaga José María 
Published: November 2021

Purpose
Combining a conceptual framework with empirical evidence, this study aims to offer insights into why small and medium-sized enterprises (SMEs) in the business-to-business beauty sector switch suppliers, due to pricing considerations.

Design/methodology/approach
Data gathered from 475 telephone surveys of Spanish hairdressers provide the input for discrete choice models for testing the proposed hypotheses.

Findings
The SMEs that change suppliers tend to be sensitive to promotions, express less satisfaction with a current supplier’s offerings and serve fewer customers who buy professional products for their in-home use. If SMEs are satisfied with the supplier’s services though, they are less likely to change and more prone to negotiate with that supplier.

Research limitations/implications
This study does not address why dissatisfied SMEs might remain with their current suppliers. Further research might replicate this study using additional pricing data from suppliers.

Practical implications
Suppliers in business-to-business (B2B) sectors can leverage these findings to allocate their marketing budgets optimally and establish service strategies that will enable them to retain buyers and reduce their switching risk.

Originality/value
As an extension of extant literature, this study specifies switching drivers for SMEs in the B2B beauty sector. The findings should apply throughout this worldwide service sector, as well as to similar markets such as health, beauty and personal care and well-being services.
Ecological control strategy for cooperative autonomous vehicle in mixed traffic considering linear stability
Authors: Lu Chaoru , Liu Chenhui 
Published: November 2021

Purpose
This paper aims to present a cooperative adaptive cruise control, called stable smart driving model (SSDM), for connected and autonomous vehicles (CAVs) in mixed traffic streams with human-driven vehicles.

Design/methodology/approach
Considering the linear stability, SSDM is able to provide smooth deceleration and acceleration in the vehicle platoons with or without cut-in. Besides, the calibrated Virginia tech microscopic energy and emission model is applied in this study to investigate the impact of CAVs on the fuel consumption of the vehicle platoon and traffic flows. Under the cut-in condition, the SSDM outperforms ecological SDM and SDM in terms of stability considering different desired time headways. Moreover, single-lane vehicle dynamics are simulated for human-driven vehicles and CAVs.

Findings
The result shows that CAVs can reduce platoon-level fuel consumption. SSDM can save the platoon-level fuel consumption up to 15%, outperforming other existing control strategies. Considering the single-lane highway with merging, the higher market penetration of SSDM-equipped CAVs leads to less fuel consumption.

Originality/value
The proposed rule-based control method considered linear stability to generate smoother deceleration and acceleration curves. The research results can help to develop environmental-friendly control strategies and lay the foundation for the new methods.
Consumers' perceptions of product quality and entrepreneurial survival: evidence from the craft brewery industry
Authors: Fernandez Jose Manuel , Gohmann Stephan F. 
Published: November 2021

PurposeMost studies of entrepreneurial failure do not have good measures of consumers' perceptions of product quality. As a result, perceived quality in entrepreneurial success is often omitted. The craft brewery industry is comprised of small entrepreneurial firms selling an experience good making it an ideal study setting. Using online beer reviews, the authors examine how perceptions of beer quality and the size of brewery production influence entrepreneurial success of microbreweries and brewpubs.Design/methodology/approachUsing data from the Brewers Association and over 12 million reviews from beeradvocate.com between 2002 and 2016, the authors examine the relationship between perceived product quality to firm survival. Perceived quality is measured using online beer reviews. The authors expect larger microbreweries will survive longer as will breweries with higher perceived quality. The authors use a conditional log-log hazard model to estimate survival for microbreweries and brewpubs.FindingsA one standard deviation increase in the beer ratings reduces the probability of exit by 26% for a microbrewery and 19% for brewpubs. The authors find that larger microbreweries have a lower hazard of exiting.Originality/valueEntrepreneurs in the brewing industry start as home brewers before beginning commercial enterprises. Scaling up production is difficult. The initial size of their brewery is an important determinant of their success. Likewise, the perception of the quality of their beer as measured by consumer ratings gives a good market indication about future survival. This research is one of the few studies to examine the influence of perceived quality on firm survival in a growing industry.
Vaccinating a billion people against COVID-19: India’s quest for systems leadership in exceptional times
Authors: Gulati Kamal , Busari Jamiu 
Published: November 2021

Purpose
In January 2021, India launched the world’s most extensive vaccination campaign against COVID-19. It is estimated that India would need to vaccinate over a billion people to achieve herd immunity. Even though the Indian Government focuses on improving and delivering its vaccination programme, significant challenges still exist. This paper aims to discuss current challenges to scale up India’s vaccination campaign and addresses strategies for achieving this.

Design/methodology/approach
The paper is based on a review of secondary sources, including journal articles from scholarly and grey literature and information available in the public domain. The search focused explicitly on the COVID-19 scenario, vaccination programme, public health management and systems leadership in the Indian health care system.

Findings
The analysis revealed that various factors have disrupted India’s vaccination campaign, including shortage of vaccine doses, mandatory prior online registration, lack of infrastructure, safety concerns for older people, untrained workforce and absence of a solid public health framework. Furthermore, India appears to have struggled to reduce tensions and instill trust in its ability to effectively manage the COVID-19 pandemic and vaccination programme due to a lack of cooperation between union government, state governments and other stakeholders, namely, policymakers, hospitals, industry and community.

Originality/value
The findings indicate that scaling up India’s anti-COVID vaccination programme would require system-level leadership strategies that work within the country’s limited resources. Deeper reforms in vaccine development, storage, delivery, training and regulatory frameworks are also needed to extend the world’s largest anti-COVID-19 vaccination campaign.
Data fusion analysis in the powder-bed fusion AM process monitoring by Dempster-Shafer evidence theory
Authors: Zhang Yingjie , Yan Wentao , Hong Geok Soon , Fuh Jerry Fuh Hsi , Wang Di , Lin Xin , Ye Dongsen 
Published: November 2021

Purpose
This study aims to develop a data fusion method for powder-bed fusion (PBF) process monitoring based on process image information. The data fusion method can help improve process condition identification performance, which can provide guidance for further PBF process monitoring and control system development.

Design/methodology/approach
Design of reliable process monitoring systems is an essential approach to solve PBF built quality. A data fusion framework based on support vector machine (SVM), convolutional neural network (CNN) and Dempster-Shafer (D-S) evidence theory are proposed in the study. The process images which include the information of melt pool, plume and spatters were acquired by a high-speed camera. The features were extracted based on an appropriate image processing method. The three feature vectors corresponding to the three objects, respectively, were used as the inputs of SVM classifiers for process condition identification. Moreover, raw images were also used as the input of a CNN classifier for process condition identification. Then, the information fusion of the three SVM classifiers and the CNN classifier by an improved D-S evidence theory was studied.

Findings
The results demonstrate that the sensitivity of information sources is different for different condition identification. The feature fusion based on D-S evidence theory can improve the classification performance, with feature fusion and classifier fusion, the accuracy of condition identification is improved more than 20%.

Originality/value
An improved D-S evidence theory is proposed for PBF process data fusion monitoring, which is promising for the development of reliable PBF process monitoring systems.
Probabilistic environmental risk assessment of infectious agents transported by air and with community transmission
Authors: Fernández Casares Manuel Antonio , Galdón Ruiz José Antonio , Barbero Fresno Rubén , Pérez Ojeda Gracia 
Published: November 2021

PurposeThe paper aims to apply the probabilistic analysis of risks, improve the prediction and control of infections and optimise the use of resources and the knowledge available at all times.Design/methodology/approachFirst, a model based on Bayesian inference, which can be solved with the WinBUGS (Windows interface Bayesian inference Using Gibbs Sampling) simulation software, is described to reduce the uncertainty of the parameter that most influences air transmission: the rate of quanta emitted by the infected. Second, a method for predicting the expected number of infections and combining available resources to reduce parameter is described.FindingsThe results indicate that it is possible to initiate a powerful learning process when all available knowledge is integrated alongside the newly observed data and that it is possible to quantify the interaction between the environment and the spaces, improving the communication process by providing the values in a format that facilitates the objective perception of danger.Research limitations/implicationsThe implementation of the inference model requires access to the spaces where there were infected.Practical implicationsThe current study provides a model and a method to improve the probabilistic analysis of risks, which allows the systematisation of the risk-based management approach to control community transmission caused by infectious agents that use the airway.Social implicationsThe application of the risk assessment and treatment method requires collaboration between the parties that will help the effective implementation of the improvements, such as to verify whether the available resources are sufficient to achieve control.Originality/valueA hierarchical Bayesian inference model is presented to control the uncertainty in the quanta rate. Bayesian inference initiates a learning process to better understand random uncertainty. A method to quantify and communicate risk was also presented, which proposes to decompose the risk into four components to predict the expected number of infected individuals, helping to implement improvement measures, with the resources and knowledge available.