bluuebunny/crossref_metadata_2025_split huggingface dataset:
Circular RNA AEBP2: A novel regulator in dendritic cell development
Authors: Zhou Qinfeng , Wang Bowen , Li Shuailong , Greasley Adam , Min Weiping , Vareki Samen Maleki , Zheng Xiufen 
Published: October 2024

AbstractDendritic cells (DCs) are the main antigen-presenting cells and play a central role in activating adaptive immunity. How DCs is regulated during their development remains to be further elucidated. Circular RNA (circRNA) is a new type of non-coding RNA playing a critical in various cell events. However, little is known about the role of circRNA in DCs. Usingin situRNA hybridization, we found that DCs expressed exonic circular RNA AEBP2 (circAEBP2). circAEBP2 was upregulated in mature DCs compared to immature DCs. Knockdown of circAEBP2 in DCs using small interference RNA (siRNA) arrested DCs at an immature state with lower expression of MHC class II, CD40, CD80, and CD83. circAEBP2 knockdown in DCs also decreased the phosphorylation of nuclear factor-kappa B p65 (P-p65) but increased CD200R1. CircAEBP2-silenced DCs had a lower capacity to activate allogeneic CD4+and CD8+T cellsin vitroand induced differentiation of regulatory T cells (Tregs). RNA immunoprecipitation assays revealed that circAEBP2 interacts with heterogeneous nuclear ribonucleoprotein F (hnRNP F) which is highly expressed in DCs and subsequently prevented hnRNP F nuclear translocation. In conclusion, we demonstrate that circAEBP2 regulates the development and function of DCs and knockdown of circAEBP2 induces tolerogenic DCs (Tol-DCs) through interacting with the hnRNP F/CD200R1/P-p65 signaling pathway. circAEBP2 is a new regulator in DCs and modulating it provides a novel strategy for inducing Tol-DCs.
Surveillance for Opioid-Associated Amnestic Syndrome in Canada, 2010-2022
Authors: Barash Jed 
Published: October 2024

AbstractObjectivesA single diagnostic code could be used to perform surveillance for opioid-associated amnestic syndrome (OAS) in healthcare datasets on a national scale.MethodsA request was submitted to search the Discharge Abstract Database (DAD) and the National Ambulatory Care Reporting System (NACRS) in Canada for the ICD-10-CA code, F11.6 (mental and behavioural disorders due to use of opioids, amnesic syndrome) during fiscal years (FY) 2010-2011 through 2022-2023. The annual total of encounters using this code was determined and crude rates per million were calculated for the Canadian population represented.ResultsNational counts from DAD and NACRS combined ranged from <5 to 14 annually. Rates per million for available years fell between 0.17 and 0.48. For available data through FY 2015-2016, the mean number of annual combined encounters nationally was 6.3; for those years after, the mean was 10. The mean rate per million was 0.23 and 0.35 for these two periods, respectively.DiscussionThis study represents the first effort to conduct surveillance for OAS on a national scale and suggests that the condition is relatively rare. Future efforts to validate the coded diagnosis of OAS with confirmed cases will help determine its value as a surveillance tool.
Developing new technologies to protect ecosystems: planning with adaptive management
Authors: Pascal Luz V. , Chadès Iadine , Adams Matthew P. , Helmstedt Kate J. 
Published: October 2024

AbstractTechnology development is an essential investment for policymakers to address contemporary global crises, including climate change, biodiversity loss, the energy transition, and emergent infectious diseases. However, investing limited resources in the development of new technologies is risky. The research and development process is unpredictable, with unknown timelines and outcomes. In addition, even after successful development, the effects of deploying a new technology remain uncertain. When confronted with these uncertainties, policymakers must determine how long they should allocate resources to developing new technologies. Informed decisions require anticipating possible successes and failures of both technology development and deployment, which is a challenging optimisation task when managing dynamic systems, such as threatened ecological systems. Using an adaptive management approach from Artificial Intelligence, we discover a time limit new technologies should be developed for, which balances costs, benefits, and uncertainties during development and deployment. We extract clear and transparent general rules for investing in new technologies, building on an analytical approximation. Using Australia’s Great Barrier Reef as a case study, we demonstrate how characteristics of the managed system influence the optimal investment strategy. Our approach can inform the development of new technologies in multiple domains including biodiversity conservation, public health, energy production, and the technology industry more broadly.SignificanceTechnology development is essential to address the crises our world faces, such as ecosystem collapse. With limited resources, policymakers must decide whether to invest in developing new technologies and, if ever, when to stop. Informed decisions require anticipating possible failures of both technology development and deployment, a challenging task when dealing with changing systems. Using an ArtificialIntelligence approach, we find a time limit for technology development that depends on characteristics of the managed ecosystem. This work can guide technology investments in many domains such as biodiversity conservation, epidemiology, energy production and the technology industry more broadly.
MultiSeq-AMR: A modular amplicon-sequencing workflow for rapid detection of bloodstream infection and antimicrobial resistance markers
Authors: Sajib Mohammad Saiful Islam , Oravcova Katarina , Brunker Kirstyn , Everest Paul , Galarion Ma Jowina H. , Fuentes Manuel , Wilson Catherine , Murphy Michael E. , Forde Taya 
Published: October 2024

AbstractBloodstream infections (BSI) represent a significant global health challenge, and traditional diagnostic methods are suboptimal for timely guiding targeted antibiotic therapy. We introduce MultiSeq-AMR, an ultra-fast amplicon sequencing workflow to identify bacterial and fungal species, and a comprehensive set of antimicrobial resistance (AMR) genes (n = 91) for BSI diagnosis. We initially benchmarked MultiSeq-AMR using DNA from 21 bacterial and fungal isolates and accurately identified 100% species and 99.4% AMR genes. Further validation with 33 BACT/ALERT positive samples from suspected BSI cases revealed 100% accuracy for pathogen identification with mono-bacterial samples, with 97.4% categorical agreement (CA) for AMR gene prediction. To accelerate diagnosis, 6-hour culture-enrichment combined with MultiSeq-AMR identified 11/13 species with 96% CA for AMR gene identification. MultiSeq-AMR holds promise for improving patient outcomes as species/AMR genes could be identified in under 5 hours of BACT/ALERT positivity, and potentially <11 hours of sample collection.
New framework for the surveillance and early warning of influenza: fixed individuals regular reporting mechanism
Authors: Sun Xiaoyue , Wang Hongwei , Yang Gongke , Guo Ruifang , Zhang Shan , Chai Ruiyu , Qu Shifang , Liu Siyu 
Published: October 2024

AbstractInfluenza is an acute respiratory infection caused by the influenza virus. Influenza is not only a major burden on human health, but also a major public health challenge, so it is very necessary to conduct surveillance and early warning of influenza. However, the existing monitoring system is mainly based on sentinel monitoring, which has some limitations in information feedback and reliability. Other new monitoring systems also have shortcomings such as insufficient representation and comprehensive coverage. Therefore, we propose a regional influenza surveillance method based on fixed individuals. This method refers to the epidemic characteristics of influenza, selects representative fixed monitoring individuals, and makes them directly upload their physical conditions on a regular basis to judge the occurrence or not of influenza, and determines the judgment method of the severity of influenza. Our proposed method can detect influenza timely and accurately and give early warning, and make more effective use of health resources, which is of great significance for the development of influenza surveillance system. In addition, the monitoring of influenza will play an important role in the monitoring and early warning of new infectious diseases. Importantly, the surveillance method based on fixed individuals can provide a theoretical basis for the cross-sectional study of infectious diseases and make up the gap in the cohort study of infectious diseases. Meanwhile, the collection of symptom information mentioned in this method is conducive to updating the etiological information and summarizing the epidemic characteristics of influenza, providing further support for the early warning and prevention of influenza.Significance StatementWe propose a new method for monitoring influenza epidemics by regularly reporting the health status of individuals and propose criteria for different levels of influenza alert severity. Our results validate the feasibility of this method, which can detect influenza timely and accurately and make early warning, and use health resources more effectively. The results of this study provide a new perspective for the surveillance of emerging infectious diseases and provide theoretical support for the cohort study of infectious diseases.
A narrative inquiry of an undergraduate student in TEFL in developing her identity as an engaged reader
Authors: Marom Nailil , Ferdiansyah Sandi 
Published: October 2024

PurposeThis retrospective narrative inquiry explored an undergraduate student’s lived experience in negotiating her identity as an engaged reader of English as a foreign language.Design/methodology/approachNarrative inquiry was employed to gain a deeper and better understanding of the participant’s engagement in reading courses. Olif (pseudonym, female) was recruited due to her significant learning achievements and willingness to share her experiences. To collect the data, we conducted several online interviews with her. To triangulate our findings, we also asked her to share her learning artifacts from the reading courses.FindingsThe thematic analysis revealed two major findings. First, her reading engagement is driven by both personal and academic motivation. Furthermore, her involvement in collaborative reading tasks fosters a deeper comprehension of texts and enhances creativity.Research limitations/implicationsThe study has two major limitations. First, it interviewed only one student and was conducted over a relatively short period. Second, it examined the participant’s experience across three different reading courses, which potentially lacks deeper insights into how each course uniquely contributes to learning engagement.Originality/valueThe study concludes that promoting personalized and collaborative reading tasks enables undergraduate students to develop their identity as engaged readers. Despite focusing on a single participant, this study offers a unique perspective on how the participant’s voice can potentially impact teachers’ pedagogical design in reading classrooms.
Mechanisms that enhance Internet of Things engagement
Authors: Soltani Sadia , Freytag Per Vagn , Gretzinger Susanne 
Published: October 2024

Purpose
By drawing on previous research on mechanism-based explanations and business-to-business engagement, the purpose of this study is to identify and define mechanisms that enhance Internet of Things (IoT) engagement.

Design/methodology/approach
By positioning the study within the paradigm of critical realism (CR), this paper used multiple case study research. This paper applied 12 in-depth, semi-structured interviews, an observation and firm documents as data-gathering tools.

Findings
This paper argues that the higher-level phenomenon (Institutional logic of the IoT ecosystem) leads to a higher-level outcome (IoT engagement). As lower-level situational mechanisms, this paper found IoT readiness and transparency in the ecosystem. Action-formation mechanisms were acknowledged as communication, availability of an IoT interface, and support. Commitment, trust, satisfaction and software maintenance and updates were recognized as transformational mechanisms.

Practical implications
The findings will help managers to understand which mechanisms to focus on when forming engagement strategies for onboarding new actors and strengthening relationships with existing actors. Furthermore, this paper suggests considering the IoT readiness of new actors more critically, as this mechanism was found to be the most crucial one for an early stage of engagement in an IoT ecosystem.

Originality/value
This study helps understand the causal structures behind engagement and enhances the theoretical and practical domain of IoT engagement. In addition, this study demonstrates the value of applying CR for generating knowledge about a phenomenon through causal explanations.
The eMoney revolution: how culture and technology drive adoption and use?
Authors: Rahmiati Rahmiati , Hoque Mohammad Enamul , Susanto Perengki , Al Mamun Abdullah , Mazumder Md Arif Hossain , Ahmed Riyashad 
Published: October 2024

Purpose
The use of electronic money (eMoney) as a noncash payment method is gaining popularity globally. However, the usages of eMoney are culturally influenced and can vary within a country. These cultural disparities can result in divergent patterns of eMoney adoption and use. This study aims to investigate the factors influencing the adoption and use of eMoney in Indonesia. This study integrated the unified theory of acceptance and use of technology model with Hofstede’s cultural dimensions to develop a framework examining both technological and cultural perspectives.

Design/methodology/approach
Data was collected through an online survey of 484 Indonesians and analyzed using partial least squares structural equation modeling.

Findings
The results showed that the constructs of the unified theory of acceptance and use of technology model, namely, performance expectancy, effort expectancy, social influence and facilitating conditions, all had a significant impact on behavioral intention to adopt eMoney as well as actual usage. However, not all of Hofstede’s cultural dimensions moderated these relationships as hypothesized. Surprisingly, masculinity/femininity and power distance emerged as important moderators of eMoney usage.

Practical implications
This integrated model provides valuable insights into how to consider cultural influences when designing strategies to promote new payment technologies in Indonesia. The findings point to both technological and cultural factors shaping patterns of adoption and use of eMoney in the country.

Originality/value
Although many research has looked at how culture affects the acceptability of technology in banking, few studies have looked at how culture affects the use of mobile money. This study offers a valuable contribution by investigating how Indonesian culture moderates the relationship between behavioral intentions and actual use of eMoney. The findings provide guidance for practitioners seeking to facilitate eMoney services in developing markets by elucidating the cultural factors that most influence customer adoption. As such, this research fills an important gap regarding the understudied domain of mobile money and its intersection with national culture.
Investigation of mechanical properties in FFF- produced PLA samples using the Erichsen test: application of definitive screening and RSM
Authors: Demir Sermet 
Published: October 2024

Purpose
This study aims to investigate how printing parameters affect the mechanical properties of specimens produced through fused filament fabrication, using the Erichsen test to assess deformation characteristics and material durability under stress.

Design/methodology/approach
Polylactic acid (PLA) specimens were printed and tested in accordance with the ISO 20482 standard. Definitive screening was conducted to identify the most influential process parameters. This study examined the effects of four key process parameters – number of layers, layer height, crossing angle and nozzle diameter – on force, distension, peak energy and energy to break. Each parameter was assessed at three levels and a large number of required experiments was managed by using response surface methodology (RSM).

Findings
This study revealed that the number of layers, layer height and crossing angle are the most significant factors that influence the mechanical properties of 3D-printed materials. The number of layers had the greatest impact on the peak force, contributing 44.25%, with thicker layers typically enhancing material strength. The layer height has a significant effect on energy absorption and deformation, with greater layer heights generally improving these properties. Nozzle diameter contributed only 1.10%, making it the least influential factor; however, its impact became more pronounced in interactions with other parameters.

Originality/value
This paper presents a comprehensive experimental investigation into the effects of process parameters on the crack strength and behavior of 3D-printed PLA specimens using the RSM method. The documented results can be used to develop optimization models aimed at achieving desired mechanical properties with reduced variation and uncertainty in the final product.
Impact of routine pre‐operative risk assessment on patients undergoing emergency major abdominal surgery in a regional Victorian hospital
Authors: Cox Jason Douglas , Dunley Frank , Tian Jia , Booth Kate , Paynter Jessica , Lee Chun Hin Angus 
Published: October 2024

AbstractBackgroundRoutine preoperative risk assessment (RPRA) using objective risk prediction tools may improve the perioperative outcomes of emergency major abdominal surgery (EMAS). This project aims to identify whether the introduction of RPRA with the ‘National Emergency Laparotomy Audit (NELA) Calculator’ as standard‐of‐care for EMAS at a regional Victorian hospital has improved postoperative outcomes, reduced unplanned postoperative critical care unit (CCU) admission rates, and impacted the ‘no‐lap’ rate.MethodsAn audit was performed including all adult general surgery patients who required EMAS at Bendigo Health between September 2017 and August 2022, including those palliated up‐front. Patients requiring surgery for uncomplicated appendicitis, cholecystitis, trauma, and diagnostic laparoscopy were excluded. Patient demographics, preoperative NELA score, CCU admission data and postoperative outcomes were collected and compared between patients undergoing surgery before and after the introduction of RPRA.ResultsSix hundred and ninety‐one patients were included in the analysis. Median NELA score was 5 (IQR 1.5–11.75). 2.60% of patients were palliated up‐front and did not proceed to surgery. Among the 673 operative patients, 30‐day mortality was 5.20%. Following the introduction of RPRA there was a significant reduction in the unplanned CCU admission rate, from 9.14% to 3.48% (P = 0.04). There was no change in postoperative mortality, severe complication rate or planned CCU admission rate.ConclusionRPRA reduced rate of unplanned CCU admissions. Postoperative mortality and complication rates did not change following introduction of RPRA. RPRA appears useful in guidance of preoperative palliative decision‐making, but further study is required to validate its use in this context.
Parity Moderates the Socioeconomic Predictors of Birth Setting Choice
Authors: Dembélé Ahoua , Peters Bethlehem , Tumin Dmitry 
Published: October 2024

ABSTRACTBackgroundThe increase in the number of people choosing community birth has raised interest in understanding the factors that influence birth setting choices. This study investigates how parity influences the association between maternal socioeconomic factors and choice of community versus hospital birth.MethodsWe used 2009–2021 US birth certificate data to identify community births (planned home or birth center births), parity, and maternal characteristics, including Women, Infants, and Children (WIC) program participation, race, ethnicity, educational attainment, marital status, body mass index (BMI), and age. Parity was interacted with each covariate in a multivariable logistic regression model of birth setting.ResultsAmong 26,526,010 eligible births, 58% were to multiparous mothers, with 1.9% occurring in a birth center or at home. For most maternal characteristics, associations with community birth were stronger in the multiparous group compared to the nulliparous group. For example, being married was associated with greater odds of community birth in both groups, but the strength of this association was greater within the multiparous group (odds ratio 4.00 vs. 1.94, interaction p < 0.001). The same pattern (stronger association with community birth in the multiparous group than in the primiparous group) was observed for race/ethnicity, educational attainment, and WIC participation, all of which were associated with lower odds of community birth.ConclusionThis study shows that parity significantly moderates associations between maternal socioeconomic characteristics and birth setting, implying studies of decision‐making in this context should purposively stratify samples and analyses by parity.
Parents' use of sustained shared thinking during joint mathematics activities with young children: An investigation of its measurement, antecedents, and outcomes
Authors: Cheung Sum Kwing , Kwan Joyce Lok Yin , Chan Winnie Wai Lan , Kum Bertha H. C. , Ho Pui Lam 
Published: October 2024

AbstractBackground and AimsThere is currently a dearth of tools to assess parents' use of effective interactive strategies for supporting early mathematics learning. One potential such strategy is sustained shared thinking. This study therefore constructed and validated a scale for measuring parents' use of sustained shared thinking during joint mathematics activities with young children, and examined its antecedents and outcomes.MethodsFour hundred and sixty‐six parents completed a questionnaire about their conceptions of mathematics teaching and learning, home practices, as well as their kindergarten children's approach and avoidance motivation to learn mathematics. Additionally, the children were tested on numeration skills.Results and ConclusionResults showed that our new scale has three factors: exchanging ideas with children about mathematical problem‐solving processes, creating a child‐centred atmosphere for mathematics learning, and engaging children in mathematical thinking. Parents' uses of these three strategies were predicted by their constructivist conception of mathematics teaching and learning, and were differentially associated with the children's numeration skills, approach, and avoidance motivation to learn mathematics. Potential uses of our new scale in future home mathematics environment research are discussed.