bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microbial biosensor for sensing and treatment of intestinal inflammation
Authors: Zhu Duolong , Galley Jeffrey , Pizzini Jason , Musteata Elena , Tabor Jeffrey J. , Britton Robert A. 
Published: July 2023

AbstractSubstantial synthetic biology efforts have been made to engineer biosensors to detect intestinal inflammation, however none target the most clinically accepted biomarker, calprotectin. To develop anin situbiosensor for calprotectin, we optimized a zinc uptake regulator (Zur) regulated promoter coupled with a memory circuit that can detect and record intestinal inflammationin vivo. The level of activation strongly correlates with calprotectin levels in the colon of two independent mouse models of colitis. Coupling of the biosensor with the production of the anti-inflammatory cytokine IL-10 allowed for the resolution of chemically induced colitis, demonstrating the ability of the biosensor to sense and respond to disease. This work highlights the utility of developing synthetic organisms for the diagnosis and treatment of intestinal disease using clinically validated biomarkers.One sentence summaryWe have optimized a microbial biosensor to detect and respond to the clinically relevant intestinal inflammation biomarker calprotectin.
Characterization and diversification of AraC/XylS family regulators guided by transposon sequencing
Authors: Pearson Allison N. , Incha Matthew R. , Ho Cindy , Schmidt Matthias , Roberts Jacob B. , Nava Alberto A. , Keasling Jay D. 
Published: July 2023

AbstractIn this study, we explored the development of engineered inducible systems. Publicly available data from previous transposon sequencing assays were used to identify regulators of metabolism inPseudomonas putidaKT2440. For the AraC-family regulators (AFRs) represented in this data, we posited AFR/promoter/inducer groupings. Eleven promoters were characterized for a response to their proposed inducers inP. putida, and the resultant data were used to create and test nine two-plasmid sensor systems inE. coli. Several of these were further developed into a palette of single-plasmid inducible systems. From these experiments, we observed an unreported inducer response from a previously characterized AFR, demonstrated that the addition of aP. putidatransporter improved the sensor dynamics of an AFR inE. coli, and identified an uncharacterized AFR with a novel potential inducer specificity. Finally, targeted mutations in an AFR, informed by structural predictions, enabled further diversification of these inducible plasmids.Graphical Abstract
Fostering three types of green behavior through green HRM in the energy sector: the conditional role of environmental managerial support
Authors: Piwowar-Sulej Katarzyna , Austen Agata , Iqbal Qaisar 
Published: July 2023

PurposeDrawing on the social exchange theory (SET) and the self-determination theory (SDT), the present study aims to examine the impact of green human resource management (GHRM) on three types of employee green behavior (EGB) – green in-role, innovative and extra-role – in the presence of environmental managerial support (EMS) as a conditional factor.Design/methodology/approachThe research model was verified based on data from 419 respondents employed in companies operating in the energy sector in Poland (Europe’s “coal heartland”). PLS-SEM was used in the statistical analyses.FindingsThis study shows that GHRM positively impacts three types of EGB. EMS positively moderates the relationships of GHRM with both green extra-role behaviors and innovative work behaviors; however, EMS does not play a moderating role in the relationship between GHRM and green in-role behaviors.Originality/valueThis study, being one of a kind, enriches the literature by exploring the conditional role of EMS on the integrated relationship of GHRM practices with in-role, extra-role and innovative behaviors and offers evidence from the rarely examined energy sector, which plays a vital role in the transformation of nations toward sustainable development.
Toward a cashless society: assessing the acceptance of Bahrain BenefitPay using TAM and SEM
Authors: Albastaki Yousif Abdullatif 
Published: July 2023

Purpose
The purpose of this paper is to explore how the technology acceptance model (TAM) and structural equation modeling (SEM) might be used to assess customer acceptance of financial apps aiming at paving the road for enabling a cashless society in the Kingdom of Bahrain.

Design/methodology/approach
Using a convenience sample of 600 users of the BenefitPay app in the Kingdom of Bahrain, this study used the quantitative research approach to obtain 427 usable responses. Following a descriptive study to establish a framework for the data and a subsequent inferential analysis using SEM with confirmatory factor analysis, the research hypotheses were tested.

Findings
The results of this study back up what is claimed in the TAM theory literature, which shows that banking customers in the Kingdom of Bahrain who use e-payment methods are more likely to use BenefitPay if it is both easy to use and useful. BenefitPay systems behavioral intention to use was also highly influenced by aspects like ease of use and usefulness, which enable the development of cashless societies.

Research limitations/implications
This research work contribution is described through exploring how a cashless society is developed using electronic apps by studying the case of the Kingdom of Bahrain. The Kingdom of Bahrain is unique, and hence the knowledge obtained from studying it cannot be applied mechanically to any other nation. Instead, the paper seeks to explain the motivations behind Bahrain’s move toward a cashless society, to analyze the difficulties and potential benefits of this transition and to spark much-needed conversations on how having less cash or none would affect the economies. Bahrain’s BenefitPay systems can be seen as a current pushing force toward cashless society; thus, understanding how people in the Kingdom of Bahrain adopt e-payment techniques is vital.

Originality/value
The TAM conceptual model is experimentally validated in this study using cutting-edge methods like SEM with value creation for banking sector management, making it stand out from similar research. This research may prove useful in laying the groundwork for a cashless society in the Kingdom of Bahrain by analyzing the key elements that affect the BenefitPay app.
Numerical simulation study on erosion collapse failure mechanism of cemented conglomerate accumulation
Authors: Hu Chengfu , Shi Chong , Zhang Yiping , Chen Xiao , Luo Sha 
Published: July 2023

PurposeCemented conglomerate accumulation is a weak and heterogeneous medium that occurs in western China. It consists mainly of argillaceous cement that loses strength rapidly upon contact with water, leading to collapse instability failure. Its deformation failure mechanism is complex and poorly understood. In this paper, the erosion failure mechanism of cemented conglomerate accumulation is investigated.Design/methodology/approachThe collapse failure process after erosion of the slope foot for typical cemented conglomerate accumulation is studied based on field investigation using the particle discrete element method. And how the medium composition, slope angle and cementation degree influence the failure mode and process of the cemented conglomerate accumulation is examined.FindingsThe foot erosion of slope induces a tensile failure that typically manifests as “erosion at the foot of slope – tensile cracking at the back edge of slope top – integral collapse.” The collapse failure is more likely to occur when the cemented conglomerate accumulation has a higher rock content, a steeper slope angle or a weaker cementation degree.Originality/valueA model based on rigid blocks and disk particles to simulate the cemented conglomerate accumulation is developed. It shows that the hydraulic erosion at the foot of the slope resulted in a different failure mechanism than that of general slopes. The results can inform the stability management, disaster prevention and mitigation of similar slopes.
The rise of scientific literature on Twitter research: a bibliometric analysis and some insights
Authors: Mir Aasif Ahmad , Rathinam Sevukan 
Published: July 2023

Purpose
The study aims to access, monitor and visualize the scientific progress of Twitter-based research through a bibliometric analysis of scientific publications.

Design/methodology/approach
The data was retrieved from 2006 to February 23, 2022 using the Web of Science, a leading indexing and abstracting database. In response to the authors’ query, 6,193 items with 101,037 citations, an average citation of 16.31 and an h index of 126 were received. The “Biblioshiny” extension of the “Bibliometrics” package (www.bibliometrix.org) of R software was used to evaluate and visualize the data.

Findings
The present study highlighted the scientific progress of the field evolved over a period of time. The obtained results uncovered the publication trends, productive countries and their collaboration pattern, active authors who nurture the field by making their contribution, prolific source titles adopted by authors to publish the literature on the topic, most productive language in which literature was written, productive institutions, funding agencies that sponsor the research, influential articles, prominent keywords used in publications were also identified which will aid scientists in identifying research gaps in a particular area.

Originality/value
This study comprehensively illustrates the research status of Twitter-related research by conducting a bibliometric analysis. The study’s findings can assist relevant researchers in understanding the research trend, seeking scientific collaborators and funding for their research. Further, the study will act as a ready reference tool for the scientific community to identify research gaps, select research topics and appropriate platforms for submitting their scholarly endeavors.
Attentional impulsivity accounts for the association of antisociality with craving and mental health problems in incarcerated individuals with substance dependence
Authors: Reichl Daniela , Heindl Bruno , Distler Anette Lea , Steins-Loeber Sabine 
Published: July 2023

Purpose
Prisoners with substance use disorder (SUD) are at risk of mental health problems. Given the common co-occurring of psychopathic traits with SUDs, probably because of underlying impulsive traits (Ellingson et al., 2018), this study aims to examine the relation between psychopathy (impulsive antisociality and fearless dominance) and the functioning of incarcerated individuals with SUD. The authors investigated whether impulsivity (motor, nonplanning and attentional) can account for the relationship between one psychopathy facet (impulsive antisociality) and craving and mental health problems.

Design/methodology/approach
The authors assessed self-reported impulsivity, psychopathy, craving and mental health problems in 121 male incarcerated individuals with SUD and calculated cross-sectional linear regression analyses and mediation models.

Findings
Impulsive antisociality was positively related to all impulsivity facets, craving and mental health problems. Attentional impulsivity mediated the relationship of impulsive antisociality with craving and mental health problems. Fearless dominance was related to lower attentional and nonplanning impulsivity, craving and mental health problems.

Research limitations/implications
Future studies should investigate these relations in longitudinal studies and evaluate tailored approaches, for example, mindfulness interventions.

Practical implications
Interventions to reduce craving and improve mental health might be important for those who display self-centered, antisocial behavior but are less relevant for those with fearless, dominant interpersonal behavior. Addressing attentional impulsivity may be of special interest in this regard.

Originality/value
To the best of the authors’ knowledge, this study was the first to investigate the mediating role of different impulsivity facets for the association of impulsive antisociality with craving and with mental health problems in incarcerated individuals with SUD.
When manufacturer brands did not support retailer brand images
Authors: Roßmann Patrick , Schade Michael , Burmann Christoph Klaus 
Published: July 2023

PurposeTo further improve the branding strategies between single-brand-retailers and multi-brand-retailers, the paper investigates the influence of multiple manufacturer brand images on retailer brand image. It considers the moderating role of the number of offered manufacturer brands.Design/methodology/approachThe research is conducted in the automotive retail context. Based on an online survey (383 respondents), a Partial-Least Squares Modeling, estimated using SmartPLS 3 and a classic partial least squares structural equation modeling (PLS-SEM) algorithm, is used to validate the hypotheses.FindingsThe results reveal that manufacturer brands did not influence the retailer's brand image in all cases since it is only influenced by the manufacturer brand when the retailer offers only one manufacturer brand.Practical implicationsFor retailers offering only one manufacturer brand, the most extensive possible adoption of the corporate identity (CI) specifications prescribed by the manufacturer brands is the prerequisite for a positive image effect. Retailers offering more than one manufacturer brand should create their image based on the retailer's identity. In this context, it is essential to position the retailer brand independently in the market.Originality/valueThis is the first study focuses on retailers with a small or limited number of offered manufacturer brands to answer the question of whether the number of provided manufacturer brands moderates the impact of manufacturer brand images on the retailer's brand image.
From text to insights: understanding museum consumer behavior through text mining TripAdvisor reviews
Authors: Burkov Ivan , Gorgadze Aleksei 
Published: July 2023

Purpose
This study aims to determine consumer satisfaction dimensions that lead to a willingness to share positive emotions through the study of TripAdvisor users’ reviews on St. Petersburg museums. The explorative study reveals the most significant factors that could predict museum visitors’ behavioral intentions.

Design/methodology/approach
The study is based on the theory of planned behavior and the “cognitive-affective-conative” model to analyze TripAdvisor reviews (n = 23020) and understand the relationship between the affective and the conative components of consumer behavior. Quantitative text-mining analysis allowed us to view every lemma of every review as a single factor for a deeper understanding of the phenomenon.

Findings
The research has enlarged the literature on museum consumer behavior. Behavioral intentions of museum visitors are affected by satisfaction dimensions, especially emotions felt; the esthetic dimension and museums’ surroundings affect consumers’ overall willingness to share positive emotions, while bad service quality and pricing policy make a visit to the museums less satisfying.

Practical implications
Managers can enhance their offerings and attract new consumers by identifying the satisfaction dimensions that influence their intentions to share positive emotions. The research findings can aid museums, tour agencies and government officials in developing targeted products and strategies to meet consumers’ expectations and promote urban tourism.

Originality/value
The research identified the dimensions that influence visitors’ willingness to share positive emotions through user-generated content in the context of museums. The study applies quantitative text analysis based on logit regression, which is a novel approach in the field of urban tourism research.
Reducing agency costs through recruitment: staffing referrals and family business success
Authors: Vardaman James M. , Tabor William E. , Hargrove Darel C. , Zhou Feigu 
Published: July 2023

PurposeThe role of family business staffing practices in their ultimate success remains largely unknown. The purpose of this paper is to test the notion that firms with greater family essence manifest their commitment by leveraging referrals as a recruitment source, which in turn is associated with higher performance. The hypothesized model posits that reduced agency costs from hiring through owner referral utilization (ORU) provide high-family essence firms with stronger performance.Design/methodology/approachThe study draws upon a sample of 194 small and medium-sized family business owners.FindingsFindings from OLS regression and the PROCESS model in SPSS support the hypothesis that recruiting nonfamily employees from referrals helps lessen agency conflicts and serves as an intervening mechanism in the relationship between family firm essence and firm performance.Originality/valueThis study draws on agency theory to shed light on how family firms successfully bring nonfamily employees into the fold despite their human resource limitations. The results extend theory on family businesses by demonstrating that those with higher degrees of family essence are more likely to attract applicants via ORU. Leveraging this recruiting practice allows family businesses to hire nonfamily employees who share the values and goals of the family firm, thus lowering agency costs and fostering higher performance. More broadly, the findings offer insight into the role of staffing practices in family firm success.
Exploring the barriers of multi-stakeholder value co-creation – the museum context
Authors: Najda-Janoszka Marta , Sawczuk Magdalena 
Published: July 2023

PurposeThe study builds on the multi-stakeholder perspective and applies the DART model to frame and explore barriers to value co-creation in the museum context.Design/methodology/approachThe empirical research followed a multiple case study design, based on six cases selected in accordance with a maximum variation strategy. The analysis of the data gathered from multiple primary and secondary sources was guided by the qualitative content analysis approach and the pattern-matching technique for a multiple case study.FindingsThe findings reveal a largely convergent understanding of value co-creation that relates to the social integration of the intrinsic value of museums. The main barriers to value co-creation were identified at both organizational and personal levels, yet important context-bound differences were found regarding the scope and impact of those barriers across defined museum activity areas.Originality/valueThe study enriches literature and museum management by identifying and synthesizing barriers, offering insights for overcoming them through DART model modifications. These insights extend beyond museums, emphasizing stakeholder identification, recognizing activity-specific barriers, understanding interdependence and considering external factors like the pandemic. Managers can leverage this knowledge for informed decisions and interventions.
Service robots and artificial morality: an examination of robot behavior that violates human privacy
Authors: Söderlund Magnus 
Published: July 2023

PurposeService robots are expected to become increasingly common, but the ways in which they can move around in an environment with humans, collect and store data about humans and share such data produce a potential for privacy violations. In human-to-human contexts, such violations are transgression of norms to which humans typically react negatively. This study examines if similar reactions occur when the transgressor is a robot. The main dependent variable was the overall evaluation of the robot.Design/methodology/approachService robot privacy violations were manipulated in a between-subjects experiment in which a human user interacted with an embodied humanoid robot in an office environment.FindingsThe results show that the robot's violations of human privacy attenuated the overall evaluation of the robot and that this effect was sequentially mediated by perceived robot morality and perceived robot humanness. Given that a similar reaction pattern would be expected when humans violate other humans' privacy, the present study offers evidence in support of the notion that humanlike non-humans can elicit responses similar to those elicited by real humans.Practical implicationsThe results imply that designers of service robots and managers in firms using such robots for providing service to employees should be concerned with restricting the potential for robots' privacy violation activities if the goal is to increase the acceptance of service robots in the habitat of humans.Originality/valueTo date, few empirical studies have examined reactions to service robots that violate privacy norms.
Application of artificial intelligence in libraries and information centers services: prospects and challenges
Authors: Jha Sanjay Kumar 
Published: July 2023

PurposeArtificial intelligence (AI) is one of the emerging technologies of this time. AI is a widely used technology in library services that can transform the best services in the age of information technology. This paper aims to highlight the use of AI in library operations. Several research has been undertaken on this subject, but that only address a few applications. AI and libraries have a substantial nexus; nevertheless, the use and awareness of AI in library services are still creating question marks addressed in this paper. This study will help the policy stakeholder, librarians and scholars in the field to address these issues before the deployment of AI in library services.Design/methodology/approachThis study is based on a qualitative method using content analysis techniques. An extensive review of literature on “artificial intelligence”, “smart libraries” was carried to ascertain the emerging technologies in the smart library domain. Literature was searched against various keywords like artificial intelligence, smart technologies, Internet of Things, electronic resource management, data mining and ambient intelligence. This study highlights the pros and cons of AI in library services and its possible solutions.FindingsThe findings of this study show that AI is a vibrant technology that can be used in library services; however, some obstacles like adequate funds, the attitude of librarians and technical skills are a few obstacles that hamper AI in library operations. The findings also reveal that using AI in library operations will accelerate libraries in the right direction. Furthermore, this study highlights various applications that can be deployed without spending costs.Practical implicationsThis paper may be of interest to academic, librarians, policymakers, researchers and the government to have a perspective on initiatives in the country on application of technology in library services. This study can introduce the current status and potential of this technology to bring the technology revolution in library and information center services.Social implicationsThis study will motivate library professionals to take advantage of AI in library services and further accelerate library operations in the right direction.Originality/valueThis study covers the understanding of AI in library services that will help the librarian’s and information professionals leverage AI in library scenarios. Furthermore, the practical implication of AI in library services will bring positive change in implementing AI.