bluuebunny/crossref_metadata_2025_split huggingface dataset:
Decoding assembly of alpha-helical transmembrane pores through intermediate states
Authors: Puthumadathil Neethu , Nair Greeshma S , Krishnan Smrithi R , Mahendran Kozhinjampara R 
Published: September 2021

AbstractMembrane-active pore-forming alpha-helical peptides and proteins are well known for their dynamic assembly mechanism and it has been critical to delineate the pore-forming structures in the membrane. Previously, attempts have been made to elucidate their assembly mechanism and there is a large gap due to complex pathways by which these membrane-active pores impart their effect. Here we demonstrate the multi-step structural assembly pathway of alpha-helical peptide pores formed by a 37 amino-acid synthetic peptide, pPorU based on the natural porin from Corynebacterium urealyticum using single-channel electrical recordings. More specifically, we report detectable intermediates states during membrane insertion and pore formation of pPorU. The fully assembled pore is functional and exhibited unusually large stable conductance and voltage-dependent gating, generally applicable to a range of pore-forming proteins. Furthermore, we used rationally designed mutants to understand the role of specific amino acids in the assembly of these peptide pores. Mutant peptides that differ from wild-type peptides produced noisy, unstable intermediate states and low conductance pores, demonstrating sequence specificity in the pore-formation process supported by molecular dynamics simulations. We suggest that our study contributes to understanding the mechanism of action of alpha-helical pores and antimicrobial peptides and should be of broad interest to bioengineers to build peptide-based nanopore sensors.
Information modeling and system realization for supporting engineering education accreditation process based on polychromatic graph
Authors: Wang Xueping , Gao Xinqin 
Published: September 2021

PurposeThe engineering education accreditation (EEA) is a principal quality assurance mechanism. However, at many education institutions, the most labor-intensive work of EEA process is accomplished manually. Without the support of computer and information technology, the EEA process leads to high labor intensity, low work efficiency and poor management level. The purpose of this paper is to build a complex network model and realize an information management system of talent training program for supporting the EEA process.Design/methodology/approachBased on polychromatic graph (PG), this paper builds a network model of talent training program for engineering specialty. The related information and data are organized and processed in this network model. From the bidirections of top-down and bottom-up, the user requirements are retrieved automatically in logic layer. Together with the specialty of mechanical engineering, the proposed PG-based network modeling method is applied and the corresponding information management system is realized.FindingsThe study results show that the PG-based network modeling method takes full advantages of the strong simulation ability of PG to model the complex network system and has some unique merits in formal expression of problem, efficient processing of information and lightweight realization of system. Further, the information management system of talent training program can reduce the tedious human labor and improve the management level of EEA process dramatically.Originality/valueThis paper proposes a PG-based network modeling method, in which the nodes and the edges can be painted by some unified colors to describe the different kinds of activities and the various types of interactions. Theoretically, this modeling method does not distinguish the activities, the interactions and their properties in graphic symbol and the problem size is diminished about a half. Furthermore, this paper provides an effective experience and idea to the education institutions for implementing the engineering education accreditation, increasing the education management efficiency and promoting the talent training quality.
Classification of space-like translation surfaces in the 3-dimensional Lorentz Heisenberg group H3
Authors: Medjati Rafik , Zoubir Hanifi , Medjahdi Brahim 
Published: September 2021

PurposeIn the Lorentz Heisenberg space H3 endowed with flat metric g3, a translation surface is parametrized by r(x, y) = γ1(x)*γ2(y), where γ1 and γ2 are two planar curves lying in planes, which are not orthogonal. In this article, we classify translation surfaces in H3, which satisfy some algebraic equations in terms of the coordinate functions and the Laplacian operator with respect to the first fundamental form of the surface.Design/methodology/approachIn this paper, we classify some type of space-like translation surfaces of H3 endowed with flat metric g3 under the conditionΔri = λiri. We will develop the system which describes surfaces of type finite in H3. For solve the system thus obtained, we will use the calculation variational. Finally, we will try to give performances geometric surfaces that meet the condition imposed.FindingsClassification of six types of translation surfaces of finite type in the three-dimensional Lorentz Heisenberg group H3.Originality/valueThe subject of this paper lies at the border of geometry differential and spectral analysis on manifolds. Historically, the first research on the study of sub-finite type varieties began around the 1970 by B.Y.Chen. The idea was to find a better estimate of the mean total curvature of a compact subvariety of a Euclidean space. In fact, the notion of finite type subvariety is a natural extension of the notion of a minimal subvariety or surface, a notion directly linked to the calculation of variations. The goal of this work is the classification of surfaces in H3, in other words the surfaces which satisfy the condition/Delta (ri) = /Lambda (ri), such that the Laplacian is associated with the first, fundamental form.
Abusive supervision: a content analysis of theory and methodology
Authors: Zhang Yucheng , Hou Zhongwei , Zhou Xingxing , Yue Yumeng , Liu Siqi , Jiang XiaoXiao , Li Ling 
Published: September 2021

PurposeDespite recent organizational behavior studies have witnessed considerable progress in abusive supervision research; some demerits for both theory and methodology still remain in the past years. To clarify the current state of knowledge in the field, this study aims to analyze the current state of theories and methods on abusive supervision and provides a detailed future research agenda.Design/methodology/approachThis paper conducted a literature review for both theory and methodology of the abusive supervision research using a content analysis of 134 publications.FindingsFor the theory part, this paper summarized the theories that had been applied to explain the relationship between abusive supervision and its consequences as well as antecedents. For the methodology part, this paper outlined some critical issues regarding country of origin, research design, measurement, analysis strategy and also summarized with a discussion of the relationship between methodological issues and article impact. Finally, this paper concluded by presenting an agenda for future abusive supervision research regarding both theory and methodology.Originality/valueFirst, this paper summarizes the main theories, antecedents and consequences often used in abusive supervision research to allow scholars to carry out theoretically driven research investigating abusive supervision in the future. Second, through a content analysis of the methods sections of abusive supervision research in the samples (i.e. country of origin, research design, measurement and analytical procedures), this paper identified the potential reasons underlying the inconsistency in the conclusions of abusive supervision research and provide some guidance for future empirical studies. Third, based on the qualitative review, this paper provides an agenda for future research investigating abusive supervision by developing a content-specific theoretical framework to benchmark abusive supervision research against other research related to leadership and offers an accurate response to scholars’ criticisms of abusive supervision research.
Evaluation of local government revenue collection information system success in Tanzania
Authors: Sausi John M. , Kitali Erick J. , Mtebe Joel S. 
Published: September 2021

PurposeThis study aims to adapt the updated DeLone and McLean model to evaluate the success of the local government revenue collection and information system (IS) implemented in Tanzania.Design/methodology/approachThe study used a concurrent mixed research design integrating quantitative and qualitative data within a single investigation. A total of 296 users from local government authorities (LGAs) in 5 regions in Tanzania participated in the study.FindingsThe study found that the system quality and information quality had a significant positive impact whilst service quality and trust in the system had a significant negative effect. In contrast, facilitating conditions did not have an effect whatsoever. The findings from the open-ended questions and implications of the findings are discussed.Originality/valueThe findings from this study will help LGAs understand the factors that affect the success of the ISs in developing countries. The results indicate that in addition to information technology attributes, building trust in the system is crucial to foster user satisfaction and increase the public value of the systems.
“I can, I’m doing, but I’m unfit, a tentative approach towards entrepreneurial regret”
Authors: Hafeez Hira , Ahsan  Qurratulain , Sarwar Ambreen 
Published: September 2021

PurposeCareer choices and selections are amongst the most important predictors of a person’s perception of life satisfaction. Pursuing entrepreneurship as a career may arise as a result of psychological adaptation of career choices in addition to societal role specifications. Therefor, this study aims to provide an in-depth understanding of potential predictors which can intervene in the entrepreneurial intentions and its progression for an important group of the society.Design/methodology/approachUsing semi-structured interviews, this qualitative study attempts to illuminate existing and emerging trends, barriers and future orientation of women entrepreneurs in Pakistan. Nvivo 12 was used for thematic analysis to drive specific themes of entrepreneurial regret in Pakistani women entrepreneurs.FindingsThe findings revealed multilevel themes influencing women’s choices of entrepreneurship as a career, including intrinsic, extrinsic and interpersonal factors. All of these factors shared the feature of social segregation and socially developed role categorisation. The findings revealed that gender roles and segregation in societies play a significant role in influencing women’s career choices.Originality/valueThough similar narratives have been presented in previous studies in the context of career selection. This study, on the other hand, makes a unique contribution by identifying relative factors as determinants of regret and counterfactual thinking in Pakistan’s socially constrained culture.
Robustness of convergence demonstrated byparametric-guiding andcomplex-root-tunneling algorithms for Bratu’s problem
Authors: Liu Zhi , Shih Tienmo , Chen Zhong 
Published: September 2021

PurposeThis study aims to propose the parametric-guiding algorithm, the complex-root (CR) tunneling algorithm and the method that integrates both algorithms for the heat and fluid flow (HFF) community, and apply them to nonlinear Bratu’s boundary-value problem (BVP) and Blasius BVP.Design/methodology/approachIn the first algorithm, iterations are primarily guided by a diminishing parameter that is introduced to reduce magnitudes of fictitious source terms. In the second algorithm, when iteration-related barriers are encountered, CRs are generated to tunnel through the barrier. At the exit of the tunnel, imaginary parts of CRs are trimmed.FindingsIn terms of the robustness of convergence, the proposed method outperforms the traditional Newton–Raphson (NR) method. For most pulsed initial guesses that resemble pulsed initial conditions for the transient Bratu BVP, the proposed method has not failed to converge.Originality/valueTo the best of the authors’ knowledge, the parametric-guiding algorithm, the CR tunneling algorithm and the method that integrates both have not been reported in the computational-HFF-related literature.
Information search behavior among Chinese self-drive tourists in the smartphone era
Authors: Ni Jiaye , Rhim Anthony Hae Ryong , Chiu Dickson K.W. , Ho Kevin K.W. 
Published: September 2021

Purpose
The Chinese economy has grown rapidly over the past decade, making self-drive tours more affordable among Chinese tourists. Thus, self-driving tours using online tourism-related information have also been popular. This study aims to investigate information search behaviors among different segments of Chinese self-drive tourists under the influence of contemporary mobile internet technologies and compares the results with prior related studies from a global standpoint.

Design/methodology/approach
This paper investigates the relationships between tourist demographics and information search behavior in Mainland China based on a quantitative method. This study collected 228 surveys from users with self-drive tour experience. This study also conducted a series of online interviews to explore the potential barriers when self-drive tourists search for information.

Findings
The results showed variances within pre-decision and post-decision stages between different age groups, social classes and experience levels. Preference for up-to-date information and contemporary platforms were also observed.

Originality/value
Research paucity exists on self-drive tourists’ information search behavior, using data collected from Mainland Chinese tourists using mobile devices. The findings offer insights to industry practitioners, such as travel agencies and liaison websites, for refining their services to meet the information needs of Chinese self-drive tourists through more comprehensive marketing strategies.
English and French language ability and the employability of immigrants in Canada
Authors: Solati Fariba , Chowdhury Murshed , Jackson Nicholas 
Published: September 2021

PurposeBoth potential immigrants to Canada and policymakers in Canada continually compare and contrast the economic returns of immigrants' language ability and proficiency. They ask which of the two official languages has a higher economic return in terms of employment and earning. This study examines how ability and proficiency in Canada's two official languages, separately and/or jointly, influences immigrants' quick absorption into the labour market.Design/methodology/approachThe study uses all three waves of the Longitudinal Survey of Immigrants to Canada (LSIC) and employs logistic regression on the relationship between employability, language ability/proficiency and various non-linguistic factors.FindingsThe study reports that language ability in French is as valuable as language ability in English for immigrants who are aspiring to work, full-time or part-time, when they arrive in Canada. The advantages of language ability and proficiency continue a few years after an immigrant's arrival. Using disaggregated speaking, reading and writing competencies, the authors observe that speaking proficiency in English has a greater impact on employability than reading and writing in English.Originality/valueThere are very few studies looking at the effects of language ability and proficiency on the employability of immigrants in countries with multiple official languages. Most studies are mainly focused on earning and not employability. This study is focused on employability, particularly in the context of Canada. Furthermore, this study specifically disaggregates the impact of speaking, reading and writing competencies in both languages on employment in Canada.
Synchronous online flip learning with formative gamification quiz: instruction during COVID-19
Authors: Zainuddin Zamzami , Farida Ratna , Keumala Cut Muftia , Kurniawan Rudi , Iskandar Hadi 
Published: September 2021

Purpose
This study aims to present research evidence on the relevance of online gamification flip learning as a pedagogical instruction in promoting learning engagement when college students are impacted by the coronavirus pandemic. In this study, a gamified formative assessment was used to examine learner engagement and to evaluate the effectiveness of gamification within a synchronous online flipped instruction.

Design/methodology/approach
A multiphase mixed methods research design was used for this study. The evaluation relied on triangulated evidence gathered through questionnaire surveys and semi-structured interviews administered at an Indonesian college setting.

Findings
Based on the findings, gamified learning and formative assessments that adopt online flipped approaches have shown a positive bearing on learner engagement, despite the challenges learners face while harrowing through times of calamity. The results of this study provide prima facie support for the claim that the use of interactive gamified e-quizzes proves to be an innovative means of stimulating student engagement during the online class.

Originality/value
The results further suggest that a learning framework that incorporates both online flipped and gamification techniques provide the stimulus that is likely to forge an emotional connection that can inspire learner engagement, much needed when learners rally through calamitous events. This study has established evidential links between gamification and flipped classroom instructional delivery, particularly for online class settings. It is well-anticipated that gamification flip learning can continue to be implemented either in online, blended or face-to-face class instruction and particularly after the time of the pandemic.
From physical to digital: what drives generation Z for mobile commerce adoption?
Authors: Verma Deepti , Tripathi Vaibhav , Singh Ajai Pratap 
Published: September 2021

PurposeThis study aims to identify factors affecting generation Z as the early adopters of mobile commerce (m-commerce). The research seeks to explore their behavioral intention to adopt m-commerce in India with consideration of gender differences while providing empirical validation for the theory of planned behavior (TPB).Design/methodology/approachIn this study, a modified TPB model has been used to explain generation Z’s intention to adopt m-commerce. The proposed model was tested using a survey method with a sample of 245 students from a private university in Northern India. Subgroup analysis was performed to find gender differences in the process of adopting m-commerce.FindingsAll three independent constructs have a positive influence on the behavioral intention of generation Z to adopt m-commerce. Further, the male subgroup has a lower beta value for attitude and higher beta value for subjective norm in comparison to the female subgroup. For perceived behavioral control, no significant difference in beta value across gender could be established.Practical implicationsA better understanding of generation Z behavioral intentions will be of great use to telecom companies, marketers and electronic commerce companies to formulate strategies to expedite the use of m-commerce. As gender plays an important role in attitude and subjective norms, companies are advised to target their communication tactics in accordance to gender.Originality/valueTo the best of the authors’ knowledge, this study is one of the first to test TPB and generation Z association in the context of m-commerce adoption in India. Data regarding the difference between the two genders has also shed light on the uniqueness of the context.
Impact of perceived interactivity and perceived value on mobile app stickiness: an emerging economy perspective
Authors: Nandi Santosh , Nandi Madhavi Latha , Khandker Varsha 
Published: September 2021

Purpose
The purpose of this paper is to ascertain the determinants of mobile app stickiness (MASS) in emerging economies.

Design/methodology/approach
The study proposes a research model about how perceived interactivity (PI), perceived value, flow and self-efficacy influence MASS. The proposed model is then assessed in partial least square structural equation modeling using a survey sample of 587 mobile app users in India. Follow-up in-depth interviews are conducted to corroborate with statistical findings.

Findings
PI does not exert a significant direct influence on MASS. Rather, it is through perceived hedonic and utilitarian values and flow, which magnifies MASS. Also, mobile app users in emerging economies perceive an app to be interactive based on the app’s higher degrees of connectedness, non-verbal information and responsiveness, and not so much as reciprocity and control.

Research limitations/implications
Besides the demographic and geographic limitations of the sample, the study emphasizes only the positive cursors of MASS, such as value and loyalty benefits. It presents a future scope to empirically examine stickiness using negative cursors, such as identity theft, stress and health issues.

Practical implications
The study serves as a potential landscape for mobile app developers, consultants and service providers to identify unique daily-life requirements for mobile apps in emerging economies.

Social implications
The study creates a case for the mobile-commerce industry to consider socio-economic and socio-environmental factors while developing mobile apps for emerging economies.

Originality/value
Given the recent growth of mobile devices, services and broadband connectivity in emerging economies, this study provides a new perspective about different factors leading to MASS.
The effect of exchange rate uncertainty on employment in South Africa’s manufacturing sector
Authors: Nuru Naser Yenus , Gereziher Hayelom Yrgaw 
Published: September 2021

PurposeThe main purpose of this study is to investigate the symmetric and asymmetric effects of exchange rate uncertainty on employment in South Africa’s manufacturing sector over the period 1985Q1–2019Q2.Design/methodology/approachJorda’s (2005) local projection method is employed and following Koop et al. (1996); generalized impulse response functions are generated to see the effect of exchange rate uncertainty on employment in South Africa’s manufacturing sector.FindingsThe results show that exchange rate uncertainty affects negatively and significantly employment in South Africa’s manufacturing sector. Employment also responds negatively and significantly to export shock. Inflation and output shocks, however, positively and significantly affect employment on impact. Asymmetric responses of employment to exchange rate uncertainty are also found in this study. While high exchange rate uncertainty leads to a reduction in employment, low exchange rate uncertainty brings an increase in employment in South Africa’s manufacturing sector.Originality/valueThis research adds to the scarce empirical literature on the effect of exchange rate uncertainty on employment in South Africa’s manufacturing sector by incorporating mainly non-linearities into the model.