bluuebunny/crossref_metadata_2025_split huggingface dataset:
CSF inflammatory cytokines as prognostic indicators for cognitive decline across Alzheimer’s disease spectrum
Authors: Ghanbarian Elham , Khorsand Babak , Petersen Kellen K. , Nallapu Bhargav T. , Sajjadi S. Ahmad , Lipton Richard B. , Ezzati Ali 
Published: November 2024

AbstractBackgroundA growing body of evidence suggests that neuroinflammation contributes actively to pathophysiology of Alzheimer’s disease (AD) and promotes AD progression. The predictive value of neuroinflammatory biomarkers for disease-staging or estimating disease progression is not well understood. In this study, we investigate the diagnostic and prognostic utility of inflammatory biomarkers in combination with conventional AD biomarkers.MethodsWe included 258 participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) who had CSF biomarkers of β-Amyloid (Aβ), tau, and inflammation. The primary outcome of interest was clinically meaningful cognitive decline (CMCD) as defined by an increase of ≥4 on the Alzheimer’s Disease Assessment Scale Cognitive Subscore 11 (ADAS-11, scores 0-70, higher scores indicate worse cognition). Predictor variables were categorized as demographics (D; age, sex, and education), genetic (APOE4 status (A)), inflammatory biomarkers (I), and classic (C) cerebrospinal fluid (CSF) biomarkers of Aβ and p-tau181. Simultaneous inclusion of eleven CSF inflammatory biomarkers as covariates in logistic regression models was examined to assess improvements in classifying baseline clinical diagnoses (cognitively normal (CN), mild cognitive impairment (MCI), Dementia) and predicting individuals with and without CMCD over one year of follow-up.ResultsAt 1-year follow up, 27.1% of participants experienced CMCD. Inclusion of inflammatory biomarkers improved baseline classification of CN vs MCI as well as CN vs Dementia for models including D and A variables (DA; bothp<0.001). Similarly, when classic CSF biomarkers of AD were included into the model (DAC model), inclusion of inflammatory markers improved classification of CN vs MCI (p<0.01) as well as CN vs Dementia (p<0.001). Addition of inflammatory biomarkers to both DA and DAC models improved predictive performance for CMCD in persons with baseline MCI and Dementia (allp<0.05), but not in the CN group. In addition, the predictive performance of the DAI model was superior to the DAC model in the MCI and Dementia groups (bothp<0.05).ConclusionsAddition of CSF inflammatory biomarkers to CSF biomarkers of AD can improve diagnostic accuracy of clinical disease stage at baseline and add incremental value to AD biomarkers for prediction of cognitive decline.Learning objective□ Identify potential diagnostic and prognostic ability of inflammatory biomarkers to assess Alzheimer’s disease stage and cognitive decline.
Assessing Extracellular Vesicle Turnover In vivo Using Highly Sensitive Phosphatidylserine-Binding Reagents
Authors: Flaskamp Lavinia , Prechtl Monica , Scheck Annkathrin , Hu Wenbo , Ried Christine , Kislinger Georg , Simons Mikael , Krug Anne , Kranich Jan , Brocker Thomas 
Published: November 2024

ABSTRACTPhosphatidylserine (PS) is a well-established marker for apoptotic cells and activated platelets, and it is also found on extracellular vesicles (EVs). However, the frequency of PS+EVs remains a topic of debate, probably due to the distinct lipid composition of EVs, which varies with the source material. This variation underscores the need for highly sensitive detection reagents to accurately differentiate between PS+and PS−EVs. To address this issue, we compared several PS-binding reagents for the staining of blood EVs, including milk fat globule factor E8 (MFG-E8, lactadherin), a derivative of MFG-E8, and Annexin V, the most used compound in the literature. Here, we demonstrate the predominance of PS+EVs in both murine and human blood and reveal significant differences in the affinities of the PS-binding proteins. With approximately 90% of the detected blood EVs being PS+, we utilized a derivative of MFG-E8 forin vivomonitoring of both circulating and cell-bound EVs, providing a novel tool to analyze endogenous EV kinetics. Our findings showed that murine PS+plasma EVs were rapidly cleared from circulation (∼50% after 30 minutes), yet they remained present on splenic B cells and monocytes/macrophages. In conclusion, MFG-E8-based reagents enable externalized PS to serve as a universal EV marker, greatly improving EV isolation, standardizing EV quantification, and facilitating diagnostic EV monitoring and disease biomarker discovery.
Transitioning from responsible and reactive to deeply responsible and proactive international business
Authors: Jones Geoffrey G. , Lopes Teresa da Silva , Pananond Pavida , van Tulder Rob , Sinkovics Noemi , Sinkovics Rudolf R. 
Published: November 2024

Purpose
This paper aims to explore the role of multi-national enterprises in addressing grand societal challenges, emphasising the need for integrating environmental and social aspects into business models. Drawing on the books of Geoffrey Jones (2023) “Deeply Responsible Business” and Rob van Tulder and Eveline van Mil (2023) “Principles of Sustainable Business”, the paper provides comments and analysis of how principles and values can guide engaged international business (IB) scholarship and responsible leadership to effectuate meaningful change.

Design/methodology/approach
The paper adopts a dialogical review, as a curated discussion of the books whereby the authors attempt to co-construct a research and teaching agenda for responsible and engaged IB scholarship.

Findings
The paper highlights the critical importance of aligning business strategies with societal needs. Companies that adopt ethical principles, or adopt the sustainable development goals (SDGs) via principles-based frameworks, can achieve significant positive impacts.

Research limitations/implications
The paper follows a viewpoint/perspective format. It relies on underpinning historical case studies and selected theoretical frameworks, which may not capture the full complexity of contemporary business environments. Scholars should conduct future research to study the underpinning principles and frameworks deployed in various industries and regions.

Practical implications
The paper suggests that business leaders should learn from the past to adopt a values and principles-based approach to integrate sustainability into their core strategies. It also highlights the importance of transforming the higher education teaching experience towards a value and principles-based one.

Social implications
This paper underscores the potential of businesses to drive positive societal change by addressing environmental and social challenges. By adopting ethics-based value systems and aligning organisations with the SDGs, companies can help mitigate pressing issues, such as poverty, inequality and climate change. The authors suggest reading “Deeply responsible business” and “Principles of Sustainable Business” to influence public attitudes towards corporate social responsibility and foster a more sustainable and equitable global economy.

Originality/value
The paper offers a curated discussion and synthesis of historical and contemporary perspectives on sustainable business practices. It bridges the gap between theory and practice by providing actionable frameworks and tools for business leaders and scholars.
Design and ergonomic evaluation of garments for long-term bedridden patients
Authors: Zhang Qingqing , He Jiazhen , Dai Lili , Chen Zhongwei , Guan Jinping , Chen Yan , He Aifang 
Published: November 2024

PurposeOn the basis of demand survey feedback from individuals with disabilities and caregivers, this study designed two sets of functional garments for long-term bedridden patients, with the primary objective of increasing convenience and reducing the physical workload of caregivers.Design/methodology/approachWear trials were conducted by employing 24 subjects to perform 11 different tasks to compare the performance of the two newly developed garments with that of conventional hospital patient apparel. Task operation time, heart rate (HR), electromyography (EMG) signals, and subjective perceptions were evaluated.FindingsThe new functional garments reduced the time required to perform tasks by 29–79%, maintained the average HR of caregivers at approximately the resting threshold and resulted in a 37–74% reduction in the root mean square (RMS) of the EMG at the arm muscles in the private and thigh nursing tasks. All the subjective and objective evaluation results of the caregivers demonstrated varying degrees of correlation.Practical implicationsThis study has practical implications for the design of functional clothing for long-term bedridden patients and provides guidance for evaluating the ergonomics of garments that can be utilized only with caregiver support.Originality/valueIn contrast to previous studies that focused primarily on individuals with disabilities while overlooking the indispensable role of caregivers in the nursing process, this study shifted its emphasis to long-term bedridden patients who relied exclusively on caregivers for daily activities. Additionally, this study attempted to analyze the correlations between the evaluation parameters to explore the relationships between the evaluation methods.
Consumer adoption of battery electric cars: analyzing techno-psychological perception-attitude-intention linkage perspective and gender effects
Authors: Jaiswal Deepak , Kant Rishi , Mehta Babeeta 
Published: November 2024

Purpose
Transportation-related pollution is expected to decrease when using battery electric cars. This will not only address energy and environmental issues but also promote reform and transformation in the zero-emission automotive industry. To craft policy interventions and promotional initiatives, manufacturers need to comprehend the techno-psychological perspectives of automotive users on the adoption of electric cars. Therefore, this study aims to test a “perception-attitude-intention” linking framework built upon the “Unified Theory of Technology Acceptance and Use” (UTAUT) and analyze the behavioral intentions of existing automobile users to embrace battery electric cars.

Design/methodology/approach
The conceptual model tests the underlying direct paths, the mediation of attitudes and the moderating gender effects in predicting users’ attitudes and behavioral intentions to adopt battery electric cars using a techno-psychological approach from UTAUT. “Structural equation modeling” is used to analyze the model using the 361 valid online responses received from conventional car owners.

Findings
The results show that behavioral intentions are directly predicted by UTAUT measures with attitudes and indirectly through its mediation and gender moderation. The results support the “Perceptions-Attitudes-Intentions” linkage model that explains the phenomenon of electric car adoption. However, the mediating and moderating paths between facilitating conditions and intentions do not support the model. In addition, the research corroborates that men have a stronger effect than women on behavioral intentions to prefer battery electric cars.

Research limitations/implications
This work may assist manufacturers and regulators in developing marketing policies to encourage consumers’ adoption of battery electric cars and potentially improve their favorable perception of these vehicles.

Originality/value
This study contributes to the comprehension of how UTAUT constructs shape consumers’ attitudes and behavioral intentions regarding the adoption of battery cars equipped with emission-free technology. This study validates the grounded framework “perception-attitude-intention” linkage model, which also describes gender-wise differences toward electric car adoption in the backdrop of Indian sustainable transportation.
Institutional antecedents of socially responsible collective action in megaprojects
Authors: Zhai Wujuan , Ju Chuanjing , Ding Jiyong , Jia Jianyao , Liu Feihai 
Published: November 2024

PurposeMegaprojects exert a significant impact on sustainable development, and it is imperative for stakeholders to collectively ensure their development occurs in a socially responsible manner. While there has been a growing focus on the involvement of megaprojects in social responsibility, scant attention has been given to understanding the collective actions of stakeholders in implementing social responsibility within these projects. Specifically, the institutional mechanism leading megaproject stakeholders to engage in socially responsible collective action is largely unexplored. To fill this gap, this study primarily aims to explore the institutional antecedents influencing socially responsible collective action in megaprojects.Design/methodology/approachDrawing on institutional theory, this study empirically examines the factors influencing socially responsible collective action in megaprojects. An online questionnaire survey was administered to collect data from 365 participants engaged in mega water transfer projects in China. The data analysis employed the partial least squares structural equation modeling technique.FindingsThe findings from the partial least squares analyses indicate that coercive isomorphism, mimetic isomorphism, and normative isomorphism all demonstrate positive associations with stakeholders’ intention to engage in socially responsible collective action. Moreover, the findings also show a positive correlation between stakeholders’ intention and their behavior in participating in socially responsible collective action within megaprojects. Additionally, coercive isomorphism positively moderates the connection between mimetic isomorphism and the intention to engage in SRCA, while negatively moderates the relationship between normative isomorphism and the intention to undertake socially responsible collective action.Originality/valueThis study enriches the existing body of knowledge by identifying coercive, mimetic, and normative isomorphism as antecedents to adopting socially responsible collective action in megaprojects. Furthermore, the study enhances our comprehension by demonstrating that stakeholders’ intention to fulfill social responsibility translates into tangible actions. The implications and recommendations provided shed light on how various types of institutional isomorphism can be used to encourage stakeholders to embrace socially responsible collective action in megaproject management.
Leadership competencies and blockchain implementation in public sector organizations: a sensemaking approach
Authors: Haq Syed Hammad Ul , Dan Sorin , Shahzad Khuram 
Published: November 2024

PurposeThis study aims to explore the required leadership competencies for successful blockchain technology (BCT) implementation in public sector organizations from a sensemaking perspective.Design/methodology/approachThe study uses a multiple case study design. Primary data are collected by conducting semi-structured interviews with several representatives of Finnish public sector organizations. Written material from the selected organizations complements the primary data. NVivo14 is used to generate codes and analyze data.FindingsThe analysis shows that through sensemaking, leaders identify cues for digitally transforming their organizations through blockchain by leveraging their curious and rational vision. After identifying the cues, leaders then interpret these cues through technological understanding and exploring different technological solutions. Once the cues are interpreted for blockchain implementation, the third step is enactment after interpreting the cues. Leaders can facilitate the enactment of blockchain by connecting the outcomes of blockchain with organizational processes and goals. Furthermore, a dark side of BCT is identified, consisting of overly optimistic expectations and creating technological dependencies in the public sector.Research limitations/implicationsThe study was conducted in 11 public organizations in Finland, which limits the generalizability of the findings. Leadership competencies that are required for blockchain implementation within organizations can be studied further by considering more use cases. The potential dark side of blockchain implementation can be explored further.Originality/valueThe presented research model of leadership competencies for blockchain implementation is derived from sensemaking research and contributes to the literature on leadership competencies by applying sensemaking to the study of BCT.
Effect of surface sector or Fibonacci-like microgrooved top foil on the performance of gas foil conical bearing
Authors: Hu Hongyang , Wu Huijun , Wang Jichao , Liu Jiamin 
Published: November 2024

Purpose
To enhance the load capacity and dynamic characteristics of gas foil conical bearings (GFCBs), two kinds of microgrooves (sector and Fibonacci-like shape) are arranged on the top foil surface.

Design/methodology/approach
The Reynolds equation considering gas rarefaction effect is solved by the finite difference method, in which the 2D plate element stiffness model is used for the grooved top foil. The influence of groove on the static characteristics is studied, and the dynamic characteristics of novel bearing are obtained by the perturbation method.

Findings
The results show that the gas rarefaction effect on the load capacities is negligible, and the novel GFCB with microgrooved top foil has higher load capacities. Moreover, the deeper groove is conductive to the dynamic stability improvement. The positive Fibonacci-like groove seems to be the most suitable shape, which can largely increase the axial load capacity with little additional torque cost. And the improvement of dynamic characteristics for the Fibonacci-like grooved GFCB is also more favorable.

Originality/value
As the low cost of groove processing, it is an effective way to improve GFCB’s performance and even can be used to upgrade the bearings in service.

Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-04-2024-0148/
Systems thinking approach to human resources development in public health supply chains
Authors: Meier Erin , Brown Andrew Nelson , Chovitz Barry , Zwinkels Dominique , Egharevba Michael , McHenry Bridget , Kabatende Joseph , Gege Buki Ines K. 
Published: November 2024

Purpose
This practice forum paper aims to present a theoretical framework to better develop the required supply chain management (SCM) competencies and the workforce needed for managing public health supply chains.

Design/methodology/approach
This framework is driven by iterative systems thinking, a deeper consideration of the SCM labor market and a comprehensive mapping of human resource system requirements. The framework centers around three tools. A labor market analysis assesses factors influencing supply of and demand for health SCM workers in a country context. To improve supply of and demand for workers, the SCM Professionalisation Framework provides reference documents to establish health SCM as a recognized profession. The human resources for SCM Theory of Change explains and assesses the conditions required to achieve optimal workforce performance at the organizational level. The Ministry of Health in Rwanda applied these three tools sequentially to assess and improve the supply and performance of its health SCM workforce.

Findings
The authors describe this framework, how the tools were applied in Rwanda, and early impressions of the results.

Practical implications
Practitioners can apply this approach to improve SCM competence and promote the attractiveness of health SCM positions by formalizing their professional status. This could lead to a pool of individuals who seek SCM qualifications and, in time, overcome the current shortage of health SCM workers. Employers can apply this approach to structured roles and workforce needs to meet health SCM system requirements. This would lead to a greater demand for and use of appropriately trained personnel.

Originality/value
This paper presents a novel, iterative, systems-thinking approach to develop human resources in public health supply chains. Rwanda is the first country to apply all three tools using this framework.
Inpatients’ satisfaction with healthcare services in a public hospital in a developing country
Authors: Bulti Kassahun , Olani Amanti Baru , Amanu A Adamu 
Published: November 2024

PurposePatient satisfaction is strongly linked to health outcomes, as satisfied patients are more likely to adhere to treatment regimens and less likely to miss follow-up appointments. Healthcare service quality and patient satisfaction in developing countries, such as Ethiopia, are critical policy and research agendas. Thus, this study aims to assess inpatients’ satisfaction with healthcare services in a public hospital in Ethiopia.Design/methodology/approachA cross-sectional study design was employed, and 192 respondents were selected using a systematic sampling technique. An interviewer-administered questionnaire was used to collect data. Both descriptive and inferential statistics were utilized to analyze the data.FindingsThe inpatient satisfaction rate was found to be 51%. The highest satisfaction of respondents was found in physician services (96.88%), and the lowest was found in access to water (18.75%). Factors determining inpatients’ satisfaction were diverse. The inpatients reported inadequate medical supplies, water problems, poor sanitation and infrastructure as critical challenges. The main implication of this study is the need to improve physical facilities, medical supplies and sanitation and to strengthen the monitoring and evaluation of work performance.Originality/valueThis paper investigated inpatients’ satisfaction with healthcare services at a public hospital. This study’s findings can inform policy decisions and targeted interventions for enhancing quality healthcare provision in public healthcare facilities in Ethiopia. Ensuring quality healthcare service provision may have a significant impact on the health and well-being of people as well as the overall socio-economic development of the nation.