bluuebunny/crossref_metadata_2025_split huggingface dataset:
A fractal model of rough surfaces based on ellipsoidal asperities
Authors: Yu Haifeng , Wang Yao , Gao Chuang 
Published: June 2024

Purpose
This study aims to use fractal theory to investigate the contact mechanics of two bidirectional anisotropic surfaces, taking into account the friction coefficient of the contact interface. This study introduces a model that centers on normal contact load and contact stiffness, providing an extensive framework to elucidate the interactions between these surfaces.

Design/methodology/approach
The research adopts the Weierstrass–Mandelbrot (W-M) function for simulating bidirectional surface profiles. Through the application of elastic-plastic contact theory, it evaluates the contact area and load of a singular asperity across elasticity, elastoplasticity and plasticity phases. The contact load and stiffness of the rough surface are determined using a refined asperity density distribution function, and these findings are juxtaposed with extant models to validate their precision and rationality.

Findings
The study delineates the influence of fractal dimension (D), surface roughness (G), ellipse eccentricity (e) and friction coefficient (µ) on the contact area, load and stiffness. It reveals that the contact area enlarges with the fractal dimension (D) yet diminishes with increased eccentricity (e), roughness (G) and friction coefficient (µ). These elements considerably affect the contact load and stiffness, underscoring their significance in comprehending surface interactions.

Originality/value
This study applies fractal theory to analyze the contact mechanics of bidirectional anisotropic surfaces, considering the geometry and mechanics of ellipsoidal asperities on rough surfaces to develop a contact mechanics model. This model clarifies the deformation of an asperity in normal contact, presenting a more rational alternative to current models.
Do you want my loyalty? Then understand what drives my trust – a conventional and Islamic banking perspective
Authors: Roberts-Lombard Mornay , Petzer Daniël Johannes 
Published: June 2024

Purpose
The purpose of this research is to develop an enhanced understanding of the drivers of trust and loyalty in a conventional and Islamic banking setting.

Design/methodology/approach
The study’s sample included South African retail bank customers who had Islamic or conventional products and who were 18 years or older. A field services company collected data from respondents through the distribution of self-administered questionnaires and a total of 949 questionnaires were deemed suitable for data analysis. SmartPLS 3.2.7 and Hayes Process Macro for SPSS tested the study’s hypotheses.

Findings
Comparing conventional banking customers with Islamic banking customers, the path from trust to customer loyalty was statistically significantly different across customer type, while the paths between trust and customer orientation, information sharing, and service fairness were not statistically significantly different across customer type. A closer examination of the path coefficients reveals that the relationship between trust and loyalty is stronger for conventional banking customers than for Islamic banking customers.

Practical implications
The findings of the study guide both conventional and Islamic banks in South Africa on how banks should redesign their purpose as the providers of financial resources to their customer segments. It highlights the need for these banks to secure a more focused approach on how to deliver financial resources and consulting services to customers in a trusting, engaging and reliable manner.

Originality/value
The study provides insight into Islamic and retail bank customers’ perceptions of the drivers of trust and loyalty and how these constructs’ interrelationships differ between Islamic and conventional banking customers.
Boundary-spanning search and breakthrough innovation: the moderating role of big data analytics capability
Authors: Yang Miaomiao , Wang Juanru 
Published: June 2024

PurposeThe rapid advancement of digital transformation requires a shift in firms’ focus from past met needs to both latent future and unmet past needs. However, how boundary-spanning search with future orientation and past orientation affects breakthrough innovation remains unclear. This study thus aims to investigate the relationship between boundary-spanning search and breakthrough innovation from the perspective of search orientation.Design/methodology/approachIn terms of search orientation, this study divides boundary-spanning search into forward-looking search and backward-looking search. Drawing on resource-based view, this study develops a theoretical model in which big data analytics capability moderates the effects of forward-looking and backward-looking searches on breakthrough innovation. Empirical analyses were conducted on data from China’s advanced manufacturing firms. Research model and hypotheses were tested through multiple regression.FindingsThe results confirm that forward-looking search has a positive effect on breakthrough innovation, and big data analytics capability strengthens this positive effect. Furthermore, backward-looking search has an inverted U-shaped effect on breakthrough innovation. Interestingly, as big data analytics capability increases, this inverted U-shaped curve flattens and becomes almost linear.Originality/valueThis study uncovers the different effects of boundary-spanning search with different orientations on breakthrough innovation and extends the research on the relationship between boundary-spanning search and breakthrough innovation by incorporating search orientation. Furthermore, by demonstrating the moderating role of big data analytics capability, this study provides a crucial condition under which boundary-spanning search can enhance breakthrough innovation.
The AI humanness: how perceived personality builds trust and continuous usage intention
Authors: Hsieh Sara H. , Lee Crystal T. 
Published: June 2024

Purpose
The growing integration of artificial intelligence (AI) assistants and voice assistants provides a platform for AI to enter consumers’ everyday lives. As these voice assistants become ubiquitous, their widespread adoption underscores the need to understand how to create voice assistants that can naturally interact with and support users. Grounded in the stereotype content model from social psychology, this study aims to investigate the influence of perceived humanness and personality on building trust and continuous usage intentions in voice assistants. Specifically, a fresh perspective examining the determining factors that shape personality trait perceptions of competence and warmth in voice assistants is proposed.

Design/methodology/approach
An online survey of 457 participants and structural equation modeling is conducted to validate the research model.

Findings
Anthropomorphism, social presence and interactivity drive perceived warmth, whereas performance and effort expectations drive perceived competence. Perceived competence and perceived warmth together positively affect users’ trust in voice assistants, leading to a higher likelihood of continuous usage intentions.

Originality/value
This research provides profound theoretical contributions to the emerging field of human-AI interaction and offer practical implications for marketers aiming to leverage voice assistant personalities to build trusted and long-lasting interactions.
Impacts of the COVID-19 infodemic on emotions through cognitive appraisals
Authors: Han Wenna , Lee Hanna , Xu Yingjiao , Cheng Yang 
Published: June 2024

PurposeThe COVID-19 outbreak has been accompanied by a massive “infodemic”, characterized by an overabundance of information, both accurate and inaccurate, making it hard for people to find trustworthy sources and reliable guidance. This study aims to investigate how the COVID-19 infodemic (i.e. information overload and untrustworthiness) influences consumers’ emotions (i.e. fear, anxiety and hope) by shaping their cognitive appraisals of the pandemic (i.e. perceived risk and uncertainty). Additionally, this study also investigates how individual differences (i.e. COVID-19 involvement and infection experience) impact their emotion formation process.Design/methodology/approachData were collected from 815 US consumers aged between 18 and 65 in November 2021 via an online survey. Structural equation modeling and multi-group comparison from AMOS 23 were used to test the proposed relationships.FindingsInformation overload increased one’s perceived risk and perceived uncertainty of COVID-19, which, in turn, structured the emotional states of fear, anxiety and hope. Information untrustworthiness had a significant impact on risk perception, which led to an increased feeling of fear. Additionally, individuals’ COVID-19 involvement and their infection experience with the coronavirus were found to moderate the cognitive appraisal process in developing emotions.Originality/valueThis study offers insights into the relationships between the information landscape and cognitive appraisals regarding health crises, specifically the COVID-19 pandemic. Not only enriching emotional well-being literature, it also lends managerial implications for effective communication strategies in global health emergencies.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-12-2023-0616
Genotypic variations appear in fine root morphological traits of Cryptomeria japonica trees grown in a common garden
Authors: Nakahata Ryo , Azuma Wakana A. , Tanabe Tomoko , Kawai Kiyosada , Hiura Tsutom 
Published: June 2024

AbstractFine root morphological traits regulate the belowground resource acquisition strategies of trees. Therefore, investigating genotypic variations isolated from environmental variations within tree species helps in understanding how genotypic backgrounds affect intragenerational tree acclimation to the growing environment. Thus, this study aimed to clarify the effects of genotypic variations on the fine root morphology of three types of Japanese cedar (Cryptomeria japonica), which were derived from different provenances but were grown in a common garden. In the three geographically different provenances of C. japonica stands (Yanase, Yoshino, and Yaku), fine root morphological traits, such as root length and diameter and specific root length (SRL), were measured for each root up to the 4th branching order. Yaku cedar exhibited root traits distinct from the other provenances, such as growing longer and thinner roots in 1st root order to enhance root surface area. In addition, the SRL patterns with root orders and higher root tissue density suggested a resource conservation strategy. Yanase cedar demonstrated a significantly higher root branching ratio and specific root tips than the other provenances, indicating a strategy for investing resources in absorptive roots. Although Yoshino cedar had traits similar to those of Yanase cedar or intermediate between Yanase and Yaku cedars, high aboveground production may be achieved through nutrient acquisition with root exudates instead of absorptive root growth. Genotypic variations appeared in fine root morphological traits of C. japonica trees, even when grown in the same environments, implying distinct resource acquisition strategies characterized by each provenance.
‘Full‐Fat, Semi‐Skimmed or Skimmed?’ The Political Economy of Immigration Policy since Brexit
Authors: Hampshire James 
Published: June 2024

AbstractSince the European Union referendum in 2016, UK net migration has increased to record levels. Despite the Leave campaign's promise to ‘take back control’—and a Conservative government that has adopted increasingly negative rhetoric about immigration—growing numbers of workers and international students have migrated to the UK. This apparent puzzle can be explained by examining the political economy of immigration policy. The UK economy is structurally dependent on migrants who take up jobs that British citizens shun and who address skills shortages caused by under‐investment in training and education, as well as international students who help finance UK universities. As free movement came to an end, the Johnson government responded by liberalising immigration policy selectively. More recently, political pressure from the right has prompted the Sunak government to adopt policies that restrict the rights of migrant workers, international students and many British citizens to live with their families.
Neonatal jaundice incidence, risk factors and outcomes in referral‐level facilities in Nigeria
Authors: Ochigbo Sunny , Ekpebe Patrick , Nyong Eno Etim , Ikechukwu Okonkwo , Ibeawuchi Amarabia , Eigbedion Andrew , Adeyemi Oyedeji Oladele , Abasiattai Aniekan , Orazulike Ngozi , Ekott Mabel , Omo‐Aghoja Lawrence , Ande Babatunde , Uwagboe Charles , Igbarumah Solomon , Idemudia Ebenovbe , Okagua Joyce , Lavin Tina , Gibbons Luz , Settecase Eugenia , Njoku Anthonia , Ibrahim Isa Ayuba , Etuk Saturday 
Published: June 2024

AbstractObjectiveTo determine the incidence, risk factors and outcomes of babies with neonatal jaundice in a network of referral‐level hospitals in Nigeria.DesignA cross‐sectional analysis of perinatal data collected over a 1‐year period.SettingFifty‐four referral‐level hospitals (48 public and 6 private) across the six geopolitical zones of Nigeria.PopulationA total of 77 026 babies born at or admitted to the participating facilities (67 697 hospital live births; plus 9329 out‐born babies), with information on jaundice between 1 September 2019 and 31 August 2020.MethodsData were extracted and analysed to calculate incidence and sociodemographic and clinical risk factors for neonatal jaundice.Main outcome measuresIncidence and risk factors of neonatal jaundice in the 54‐referral hospitals in Nigeria.ResultsOf 77 026 babies born in or admitted to the participating facilities, 3228 had jaundice (41.92 per 1000 live births). Of the 67 697 hospital live births, 845 babies had jaundice (12.48 per 1000 live births). The risk factors associated with neonatal jaundice were no formal education (adjusted odds ratio [aOR] 1.68, 95% CI 1.11–2.52) or post‐secondary education (aOR 1.17, 95% CI 0.99–1.38), previous caesarean section (aOR 1.68, 95% CI 1.40–2.03), booked antenatal care at <13 weeks or 13–26 weeks of gestation (aOR 1.58, 95% CI 1.20–2.08; aOR 1.15, 95% CI 0.93–1.42, respectively), preterm birth (aOR 1.43, 95% CI 1.14–1.78) and labour more than 18 hours (aOR 2.14, 95% CI 1.74–2.63).ConclusionsHospital‐level and regional‐level strategies are needed to address newborn jaundice, which include a focus on management and discharge counselling on signs of jaundice.
Confirmatory factor analysis of the Teacher Efficacy for Inclusive Practices scale: A study of teachers in Bosnia and Herzegovina
Authors: Jakubovic Edinalda , Memisevic Haris 
Published: June 2024

AbstractThe Teacher Efficacy for Inclusive Practices (TEIP) scale is a widely used instrument for assessing teachers' effectiveness in implementing inclusive practices. The TEIP has not been validated in Bosnia and Herzegovina (BIH). The goal of the present study was to conduct a confirmatory factor analysis (CFA) of the TEIP in a sample of teachers in BIH. The sample consisted of 239 elementary school teachers (204 females, 35 males; mean age‐ 43.5 years, SD‐ 8.3 years). The results of the CFA found that the original TEIP structure was not a good fit for our data. However, through some modifications on the item level, we created a satisfactory model that retained the same structure as the original TEIC. The composite reliability and construct maximal reliability were well above the recommended cut point of 0.70 for all factors. Our findings suggest that the modified version of the TEIP has the potential to be an effective and useful instrument for assessing teachers' efficacy in inclusive practices in BIH. This study represents an important step towards the cultural adaptation and validation of the TEIP in BIH, highlighting areas for future research and application in diverse educational contexts.
A comprehensive review on novel synthetic foods: Potential risk factors, detection strategies, and processing technologies
Authors: Wang Yuxin , Zhao Jinlong , Jiang Lan , Zhang Lili , Raghavan Vijaya , Wang Jin 
Published: June 2024

AbstractNowadays, the food industry is facing challenges due to the simultaneous rise in global warming, population, and food consumption. As the integration of synthetic biology and food science, novel synthetic foods have obtained high attention to address these issues. However, these novel foods may cause potential risks related to human health. Four types of novel synthetic foods, including plant‐based foods, cultured meat, fermented foods, and microalgae‐based foods, were reviewed in the study. The original food sources, consumer acceptance, advantages and disadvantages of these foods were discussed. Furthermore, potential risk factors, such as nutritional, biological, and chemical risk factors, associated with these foods were described and analyzed. Additionally, the current detection methods (e.g., enzyme‐linked immunosorbent assay, biosensors, chromatography, polymerase chain reaction, isothermal amplification, and microfluidic technology) and processing technologies (e.g., microwave treatment, ohmic heating, steam explosion, high hydrostatic pressure, ultrasound, cold plasma, and supercritical carbon dioxide) were reviewed and discussed critically. Nonetheless, it is crucial to continue innovating and developing new detection and processing technologies to effectively evaluate these novel synthetic foods and ensure their safety. Finally, approaches to enhance the quality of these foods were briefly presented. It will provide insights into the development and management of novel synthetic foods for food industry.
Disaster victim identification: Stable isotope analysis and the identification of unknown decedents
Authors: Chesson Lesley A. , Berg Gregory E. , Megyesi Mary 
Published: June 2024

AbstractWithin the complex world of disaster victim identification, or DVI, forensic science practitioners use a variety of investigative techniques to work toward a common goal: identification of the decedents, bringing closure to the affected communities. Identification is a complex undertaking; the event (disaster) also can be extraordinarily complex, as it may be an acute event, or one that spans months or years. Compounding this time issue, remains may be heavily fragmented, dispersed, commingled, or otherwise disrupted by either the perpetrators or the disaster itself. To help solve these complexities, we explore the use of stable isotope analysis (SIA) in DVI events. SIA can be used with a variety of body tissues (hair, nail, bone, and teeth), and each represents different time depths in a decedent's life. Bone collagen and tooth enamel carbonate are useful to reconstruct an individual's diet and source water intakes, respectively, leading to likely population or geographic origin determinations. Additionally, the carbon and nitrogen isotopic signatures of bone collagen have calculated intraperson ranges. These facts allow investigators to determine likely origin of remains using isotopic data and can be used to link skeletal elements (to an individual), or perhaps more importantly, show that remains are not linked. Application of SIA can thus speed remains identification by eliminating individuals from short lists for identification, linking or decoupling remains, and reducing the need for some DNA testing. These strategies and hypothesis tests should commence early in the DVI process to achieve maximum effectiveness.
Extending the discussion on inconsistency in forensic decisions and results
Authors: Buckleton John , Bright Jo‐Anne , Taylor Duncan , Curran James , Kalafut Tim 
Published: June 2024

AbstractThe subject of inter‐ and intra‐laboratory inconsistency was recently raised in a commentary by Itiel Dror. We re‐visit an inter‐laboratory trial, with which some of the authors of this current discussion were associated, to diagnose the causes of any differences in the likelihood ratios (LRs) assigned using probabilistic genotyping software. Some of the variation was due to different decisions that would be made on a case‐by‐case basis, some due to laboratory policy and would hence differ between laboratories, and the final and smallest part was the run‐to‐run difference caused by the Monte Carlo aspect of the software used. However, the net variation in LRs was considerable. We believe that most laboratories will self‐diagnose the cause of their difference from the majority answer and in some, but not all instances will take corrective action. An inter‐laboratory exercise consisting of raw data files for relatively straightforward mixtures, such as two mixtures of three or four persons, would allow laboratories to calibrate their procedures and findings.
Finding the path of least resistance: An examination of officer communication tactics and their impact on suspect compliance
Authors: Foster Jacob T. , Zimmerman Laura , Terrill William , Somers Logan J. 
Published: June 2024

AbstractResearch SummaryThis study investigated the impact of patrol officer communication tactics on suspect compliance by using Systematic Social Observation (SSO) to code 438 body‐worn camera and dashcam video recordings from two police agencies. Specifically, we examined officer tenor/demeanor, use of noncoercive directives, use of verbal coercion, and accusations, while controlling for a host of suspect and situational factors. Results showed that when officers presented a positive tenor/demeanor or employed noncoercive verbal tactics, suspects were significantly more likely to comply. Conversely, use of coercive verbal tactics and accusatory language did not have a significant impact on suspect compliance. In addition, negative suspect demeanor, suspect impairment, and suspect elevated emotional state negatively affected compliance.Policy ImplicationsRecent calls for police reform have focused on producing less coercive outcomes by explicitly recognizing the role that officers have in managing encounters rather than simply reacting to suspect behaviors. An increased focus on officer communication strategies in both police training and practice is likely to promote suspect compliance while reducing the need for officer use of force. Similarly, it is likely that more coercive verbal strategies have little impact on suspect compliance and may lead to negative perceptions of police interactions and law enforcement in general.