bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fluoroscopic-Guided Magnetic Soft Millirobot for Atraumatic Endovascular Drug Delivery
Authors: Le Tuan-Anh , Alabay Husnu Halid , Singh Prabh G. , Austin Melissa Gioia , Misra Sanjay , Ceylan Hakan 
Published: February 2025

ABSTRACTAtraumatic and precise drug delivery to arteries and veins remains an unmet need in interventional medicine, with significant implications for managing vascular diseases and long-term patient outcomes. Conventional endovascular methods, such as drug-coated balloons and drug-eluting stents, often damage vessel endothelium and compromise wall integrity, leading to reduced therapeutic efficacy and severe complications including restenosis and thrombosis. To address these limitations, we introduce EndoBot, an untethered soft millirobot designed for atraumatic vessel navigation and localized drug delivery under physiological blood flow. EndoBot achieves this through magnetically actuated corkscrew propulsion and mechanically adaptive surface crawling, exerting low radial pressure (< 1 kPa) to preserve endothelial integrity. We validated its performance in phantom vessels, ex vivo human umbilical veins under normothermic perfusion, and in vivo rat inferior vena cava under fluoroscopic guidance using a human-scale magnetic manipulation platform. Despite dynamic vessel contractions and compressions along non-uniform cross-sections, mechanically adaptive locomotion strategy ensures safe navigation and protects the inner endothelial lining. EndoBot is deployable and retrievable via clinical vascular sheaths and remains stable even under supra-physiological blood flow conditions (> 155 cm/s). Extensive blood compatibility tests demonstrated minimal hemolysis (<0.01%), low platelet activation on the robot surface, and no increased coagulation tendency. For drug delivery, a hydrophobic transfer coating enables EndoBot to gently deposit a stable, flow-resistant drug layer onto the vessel wall without fragmentation. This novel platform enables safer and more effective targeted endovascular drug delivery, paving the way for transformative approaches to address early-stage vascular pathologies and deliver more effective preventive interventions.
Forward guidance and interest rate pass-through: evidence from New Zealand
Authors: Wang Siyi , Liu Ming-Hua , Margaritis Dimitris 
Published: February 2025

PurposeThis paper examines the impact of forward guidance in monetary policy on the pass-through of interest rates in New Zealand by analyzing the degree of both the long-term and short-term pass-through.Design/methodology/approachWe use dynamic OLS to estimate the long-term relationship between the official cash rate and the time-deposit rates and various lending rates of New Zealand banks. We use a standard error correction model to estimate the short-term dynamics.FindingsThe results show that implementing forward guidance improves the degree of long-term pass-through, especially for time-deposit interest rates and longer-term fixed mortgage rates. Furthermore, the markup for various lending rates decreased, and the degree of short-term pass-through increased slightly after the implementation.Practical implicationsImplementing forward guidance enhances the transmission of monetary policy. Commercial banks are able to respond more quickly to changes in monetary policy by adjusting their deposit and loan rates.Originality/valueNew Zealand is the first country to mandate inflation targeting. Since its birth in 1990, the 2% inflation target has become the norm for central banks all over the world, including the FED, European Central Bank, Bank of Japan, Bank of England, etc. To our knowledge, ours is the first paper to examine the impact of forward guidance on the interest rate pass-through.
A new hybrid fuzzy bio-inspired classifier for cancer detection using cuckoo optimization and hyper-planes
Authors: Abdolrazzagh-Nezhad Majid , Izadpanah Shaghayegh 
Published: February 2025

PurposeVarious methods are used for cancer detection such as genetic tests, scanning, MRI, mammography, etc. These methods help collect data on patients, which can be utilized for comparing a new patient’s information with the aggregated data to detect cancer. The main step in this process is data classification. There are several cancer detection methods with their own disadvantages in flexibility, non-linear complexity and sensitive in imbalance data. In this paper, a new fuzzy bio-inspired based classification method is designed to classify the imbalance medical data.Design/methodology/approachIn this paper, a new fuzzy bio-inspired-based classification method is designed to classify the imbalance of medical data. The method consists of a new fuzzy draft of the Cuckoo Optimization Algorithm (COA) and separating hyper-planes based on assigning binary codes to separated regions that are called Hyper-Planes Classifier (HPC). Based on the technical review is done in the paper, the HPC has a better structural superiority than the other classification algorithms. The Fuzzy Cuckoo Optimization Algorithm (FCOA), which fills up its challenge in proper tuning parameters, is proposed to optimize the weights of the separating hyper-planes with linear complexity time.FindingsThe experimental results were presented in five steps. Step1, the details of the average and the best results of the proposed methods were reported and compared. Step2, the quality of the detection methods with different numbers of hyper-planes were compared. The obtained weights of different numbers of hyper-planes were reported in Step3. Step4, the convergence process of the FCOA and the COA were shown. Step5, the best obtained results were compared with the best reported one in previous literature. The experimental results and the presented comparisons show that the proposed hybrid detection method is comparable to other methods and operates better than them in most cases.Originality/valueA technical review has been done based on classifying the applied classification methods to cancer detection and analyzing advantages (+) and disadvantages (−) of the methods and their optimizer algorithms. A new fuzzy draft of COA has been designed to dynamically tuning the Egg Laying Radius based on a fuzzy inference system with four fuzzy rules. A novel hybridization of the hyper-planes classification method and the designed FCOA has been proposed to optimize the hyper-planes' weights. The effectiveness of the proposed hybridization has been examined in famous UCI cancer datasets based on one, two, three and four hyper-planes and compared with more than 30 previous researches.
Ambulance personnel’s intention to quit and its associations: a multi-group comparison using structural equation modelling
Authors: Dao-Tran Tiet-Hanh , Townsend Keith , Loundoun Rebecca , Wilkinson Adrian , Seib Charrlotte 
Published: February 2025

PurposeThis study aims to explore the intention to quit and its associations among ambulance personnel and to compare the intention to quit and its associations between paramedic and non-paramedic staff.Design/methodology/approachA cross-sectional study was conducted on 492 Australian ambulance personnel. Participants were selected by stratified random sampling. Data were collected using phone interview-administered questionnaires. Descriptive analyses, bivariate associations and structural equation modelling were performed for data analysis.FindingsThe study found that 70% of ambulance personnel intended to quit their jobs. Intention to quit was similar between paramedics and non-paramedic staff. In both staff groups, supervisors' and colleagues' support was associated with mental health symptoms; job satisfaction was associated with the intention to quit. Supervisors' and colleagues' support was indirectly associated with the intention to quit via increasing job satisfaction and reducing the experience of mental health symptoms among paramedics only. Mental health symptoms were directly associated with the intention to quit and indirectly associated with the intention to quit via reducing job satisfaction among paramedics only.Practical implicationsThe study findings provide evidence for resource allocation in human resource management. The findings suggest that interventions to increase job satisfaction may reduce the intention to quit for all ambulance personnel. Interventions to improve supervisors' and colleagues' support and to manage depression, anxiety and stress symptoms may help to reduce the intention to quit for paramedics only.Originality/valueThis is the first study to model and compare the direct and indirect associations of intention to quit between paramedics and non-paramedic staff in ambulance personnel.
Predicting post-IPO financial performance: a hybrid approach using logistic regression and decision trees
Authors: Supsermpol Pornpawee , Huynh Van Nam , Thajchayapong Suttipong , Suppakitjarak Nathridee , Chiadamrong Navee 
Published: February 2025

PurposeThis study enhances the financial modelling of companies undergoing an Initial Public Offering (IPO) by focusing on internal capability determinants and IPO proceeds.Design/methodology/approachA hybrid logistic regression and shallow-depth decision tree approach are employed to predict the initial three-year post-IPO performance of companies listed on the Stock Exchange of Thailand (SET) using data from 2002 to 2021.FindingsThe results demonstrate that these models not only perform competitively against complex machine learning algorithms but also surpass them in terms of interpretability, an essential feature in financial modelling. The proposed approach effectively captures the effects of each determinant, offering valuable insights into strategic resource allocation and investment decision-making during transition years.Originality/valueThis study introduces a novel application that integrates logistic regression with decision trees to predict multiclass financial performance, filling the gap between complex machine learning techniques and interpretable financial models. It offers practical tools for companies and investors to make informed decisions in challenging post-IPO environments.
Climate change and Task Force on Climate-related Financial Disclosures (TCFD) reports. A comparison between Italy and Spain
Authors: Xhindole Chiara , Tarquinio Lara , Sierra-García Laura 
Published: February 2025

Purpose
This study aims to analyse the reporting practices of a sample of companies listed in Italy and Spain that prepare a Task Force on Climate-related Financial Disclosures (TCFD) report. The main purpose is to analyse the reporting’s compliance with the TCFD framework and the extent of climate-related information disclosed.

Design/methodology/approach
This study performs a content and comparative analysis of climate-related information disclosed by Italian and Spanish companies listed on the FTSE MIB and IBEX-35, following the consolidated narrative interrogation (CONI) model. The analysis is carried out on 31 TCFD reports published in 2020, 2021, 2022 and 2023, using NVivo software for content analysis and information coding.

Findings
Overall, the study shows that Italian and Spanish companies comply with the TCFD framework. However, some topics, such as governance-related aspects and risk management, are disclosed differently and may merit more in-depth reporting.

Practical implications
The findings of this study are valuable for companies and their stakeholders, in particular investors. The increasing focus on mandatory climate reporting and the adoption of new climate standards are increasing the pressure on companies to manage these issues, and the results of this work already indicate which aspects of the reporting process need to be improved to meet the new information requirement.

Originality/value
This study strengthens the theoretical and empirical literature on climate change information by conducting a cross-country content analysis of TCFD reports. The results provide a basis for future analysis of climate disclosure according to the latest developments in standards and frameworks.
In the pursuit of educational excellence: investigating CSFs for implementing NEP 2020 to redefine the higher education ecosystem
Authors: Narkhede Ganesh , Pasi Bhaveshkumar , Dhamak Pallavi , Mahalle Parikshit , Ambhore Nitin 
Published: February 2025

PurposeIn the ever-changing landscape of education, new policies play a very crucial role in shaping the future trajectory of nations. The National Education Policy (NEP) 2020 stands as a testament to the commitment toward redefining the educational paradigm in India. This research aims to identify the critical success factors (CSFs) and present a roadmap to facilitate the implementation of NEP 2020 in Higher Education Institutions (HEIs).Design/methodology/approachA dual-research method is used in this study. First, a systematic literature review was performed to identify the CSFs. Furthermore, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was implemented to rank CSFs.FindingsThe study identifies the CSFs essential for the effective implementation of NEP in Indian HEIs. A comprehensive strategic roadmap, integrating institutional theory, diffusion of innovation, and policy implementation frameworks, is proposed to guide HEIs in aligning with NEP objectives. Additionally, context-specific solutions inspired by global best practices ensure localized and inclusive implementation. The findings highlight NEP 2020s emphasis on multidisciplinary education, digital transformation, equity-driven policies, and institutional restructuring.Practical implicationsThis study advances multidisciplinary education models, equity-driven policy, and technology-driven reforms. Practical insights include flexible learning pathways, multilingual education, vocational training integration, and quality assurance mechanisms, fostering innovation and global competitiveness in India’s higher education landscape.Originality/valueThis groundbreaking research identifies and prioritizes CSFs, also offers a unique strategic roadmap combining institutional and innovation theories for NEP 2020 implementation. It incorporates global best practices and context-specific solutions for transforming India’s higher education ecosystem comprehensively.
The balance of power: assessing earnings quality in the shadow of corruption in GCC countries
Authors: Persakis Antonios , Jallad Ra’fat 
Published: February 2025

Purpose
This study aims to address a research gap by examining the relationship between CEO power, board strength and earnings quality in Gulf Cooperation Council (GCC) countries, a region with distinctive economic and governance characteristics. It explores how governance mechanisms impact financial reporting in a context marked by significant corruption challenges and regulatory dynamics. The paper underscores the relevance of the GCC setting because of its unique blend of rapid economic reform, policy shifts toward diversification and evolving governance frameworks influenced by Islamic principles.

Design/methodology/approach
This study uses 5,030 firm-year observations from GCC countries over the period 2003–2022. To test the study’s hypotheses, the authors apply the System Generalized Method of Moments.

Findings
The study reveals a significant negative correlation between perceived corruption and earnings quality, with higher corruption leading to lower earnings quality. It finds that CEO power further diminishes earnings quality and intensifies corruption’s negative effects on financial reporting while strong board governance positively affects earnings quality and reduces the adverse impact of corruption.

Originality/value
By focusing on the GCC – a region undergoing significant regulatory reforms and policy changes – this study enriches the discourse on earnings quality within emerging markets. It provides novel insights into how corruption, CEO power and board strength interact to influence financial reporting quality, offering actionable implications for policymakers and stakeholders navigating these unique economic and governance landscapes.
Linking business model implementation to strategy and organisational results in the Baldrige Excellence Framework: an empirical analysis
Authors: Alanazi Mohammed Hamdan 
Published: February 2025

PurposeStrategy and business models (BMs) are key to success and are increasingly used by organisations. Using the Baldrige Excellence Framework (BEF), this study mainly aims to analyse the role of BM implementation, as captured by operating model (OM) and enterprise architecture (EA), in the context of business excellence models.Design/methodology/approachThe research model is analysed using partial least squares and survey data from 203 Saudi firms.FindingsThe findings show that the importance of BM implementation (i.e. OM and EA execution) is reinforced by the mediating effect exerted by these constructs between strategy and organisational results. In addition, this study develops a conceptual framework depicting the integration of BMs and the BEF. It also discusses the resultant implications for theory, management practice and future research.Originality/valueIn the context of business excellence models, empirical analyses on the extent to which strategy and BMs can be interrelated and integrated are scarce. This paper contributes to filling this research gap.
Assessment of older adults' decision‐making capacity for independent living: Findings from a nominal group technique meeting in Ireland
Authors: Usher Ruth , Stapleton Tadhg 
Published: February 2025

AbstractIntroductionOccupational therapists are one of the nominated professions who can assess decision‐ making capacity in according to recent Irish legislation. However, the process of implementing this legislation into practice remains unclear for therapists. The aim of this study was to form a consensus on recommended procedures for occupational therapists when assessing older adults' decision‐making capacity for independent living.MethodsA nominal group technique was employed to identify and rank critical dimensions of capacity assessment. Twenty occupational therapists from a range of Irish practice settings participated in a 1‐day consensus meeting.ResultsKey triggers indicating the need for capacity assessment related to independent living were risk, reduced insight and conflicting stakeholder perspectives on older person's needs (strong consensus). Capacity assessment should consider observations of function, cognitive assessment, and home‐based assessment (strong consensus). Strategies to maximise the older person's participation in the capacity assessment and enable occupational therapists to embed will and preference within the capacity assessment process were identified.ConclusionFindings represent a hierarchical organisation of key components to be considered in capacity assessment of independent living and highlight the role of occupational therapy in assessing and enhancing older adults' decision‐making capacity.Consumer and Community InvolvementNo consumers/patients of occupational therapists were involved in the study.PLAIN LANGUAGE SUMMARYMany older people want to stay in their own homes for as long as they can. Occupational therapists assist the person to make this decision.This study looked at how occupational therapists in Ireland help older people make this decision. Twenty therapists agreed on the best way to check if someone can decide to live independently.Sometimes, tests are needed because of safety risks, confusion, or family disagreements. Therapists watch how people do daily tasks, test their thinking, and check their home to help them decide. The study also suggests ways to make sure older people are included in these decisions.
Virtue as Competence: A Conceptual Integration of Competence Thinking with MacIntyrean Virtue Ethics
Authors: Moosmayer Dirk C. , Rocchi Marta , Ferrero Ignacio 
Published: February 2025

AbstractRecent management education debates identify room for greater emphasis on character building within business school pedagogies. As a way forward, we suggest virtue ethics as an agent‐centred character‐building ethical approach that provides guidance in management education where norm‐ and outcome‐oriented ethical approaches have limits. However, its whole‐person and life‐span perspective makes it difficult to develop virtue ethics competence in business schools. We thus conceptualise a virtue as competence learning framework for management. We do so by integrating Alasdair MacIntyre's virtue approach with the intellectual–behavioural–personal (IBP) competence framework that specifies independent and interdependent dimensions of intellectual, behavioural and personal competence. The virtue as competence learning framework guides learners to develop virtue competence. We make three contributions. First, we explicitly address the whole‐person and life‐span perspective of virtue and thus address the lack of systematic approaches to virtue ethics learning in managerial studies. Second, by conceptually applying the IBP competence framework to the learning of a whole‐person ethics approach, we address the particularisation of competences in the competence debate. Third, we offer concrete inspirations for a character‐building pedagogy that develops whole‐person competence and addresses the scarcity of ethics pedagogies that develop behavioural and personal competence.
Establishment of a New Retinal Service in Remote Western Australia: Kimberley Hub—A Comparative Audit 2019–2022
Authors: Wiffen James , Drinkwater Jocelyn , Shah Vaibhav , Turner Angus 
Published: February 2025

ABSTRACTBackgroundLions Outback Vision provides access to specialist eye care in rural and remote Western Australia. In 2020, the Kimberley Hub was established as a new regional base in Broome for outreach services in the northwest of the state. Vitreoretinal services commenced for the first time in Broome in 2021.This is a retrospective audit of retinal services provided by Lions Outback Vision in the year prior to, and following, establishment of the Kimberley Hub.MethodsAll ophthalmology occasions of service in the Kimberley in 2019 (1/1/19–31/12/19) were compared with those from April 2021 to March 2022.Data are presented as number (percentage) and mean ± SD as continuous data was normally distributed. Two‐way comparisons were by chi‐square test.ResultsOccasions of service increased by 75% from 3307 to 5793 between the 2019 and 2021/22 periods respectively. Nonattendance significantly reduced from 28.5% to 18.7% (p < 0.001). In the 12 months following the introduction of vitreoretinal capabilities, 42 surgeries were performed on 35 people (mean ± SD age of 56.1 ± 13.1 years at first surgery), 17 (48.6%) were male, 29 (82.9%) identified as Aboriginal or Torres Strait Islander and 19 (54.3%) had diabetes. Nine (21.4%) of these cases were emergency procedures. The number of intravitreal injections given significantly increased by 87% between 2019 and 2021/22. There were 3.5 times more laser photocoagulative procedures.ConclusionEstablishment of the Kimberley Hub saw increased appointments, reduced nonattendance and establishment of the first vitreoretinal service in remote Western Australia.