bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evidence supporting the use of therapeutic drug monitoring of ganciclovir in transplantation
Authors: Wong Diana D. , Ho Su Ann , Domazetovska Ana , Yong Michelle K. , Rawlinson William D. 
Published: September 2023

Purpose of review
This review describes current knowledge of ganciclovir (GCV) and valganciclovir (ValGCV) pharmacokinetic/pharmacodynamic characteristics, highlighting the likely contribution from host genetic factors to interpatient variability. The evidence and challenges surrounding optimization of drug dosing through therapeutic drug monitoring (TDM) are examined, with recommendations made.

Recent findings
Pharmacokinetic studies of current dosing guidelines have shown high interindividual and intraindividual variability of GCV concentrations. This is sometimes associated with a slow decline in cytomegalovirus (CMV) viral load in some transplant recipients. A high incidence of GCV-associated myelosuppression has limited the use of this drug in the transplant setting. Patient groups identified to benefit from GCV TDM include pediatric patients, cystic fibrosis with lung transplantation, obese with kidney transplantation, and patients with fluctuating renal function or on hemodialysis. The emergence of refractory resistant CMV, particularly in immune compromised patients, highlights the importance of appropriate dosing of these antivirals. Host genetic factors need to be considered where recently, two host genes were shown to account for interpatient variation during ganciclovir therapy. Therapeutic Drug Monitoring has been shown to improve target antiviral-level attainment. The use of TDM may guide concentration-based dose adjustment, potentially improving virological and clinical outcomes. However, evidence supporting the use of TDM in clinical practice remains limited and further study is needed in the transplant cohort.

Summary
Further studies examining novel biomarkers are needed to guide target concentrations in prophylaxis and treatment. The use of TDM in transplant recipients is likely to improve the clinical efficacy of current antivirals and optimize outcomes in transplant recipients.
Transplant Outcomes After Exposure of Deceased Kidney Donors to Contrast Medium
Authors: Chotkan Kinita A. , Hilbrands Luuk B. , Putter Hein , Konjin Cynthia , Schaefer Brigitte , Beenen Ludo F.M. , Pol Robert A. , Braat Andries E. 
Published: September 2023

Background.
The administration of contrast medium is associated with acute kidney injury; however, the effect of exposure of a deceased organ donor to contrast medium on kidney transplant outcomes has been poorly studied.

Methods.
A retrospective analysis of all deceased kidney donors between 2011 and 2021 and their corresponding recipients in the Netherlands was conducted. Multivariable analyses were performed to assess the associations between contrast medium exposure and delayed graft function (DGF)/graft survival. Linear mixed models were used to assess the differences in mean estimated glomerular filtration rate values in recipients 1 to 6 y after transplantation.

Results.
In total, 2177 donors and 3638 corresponding kidney graft recipients were included. Twenty-four percent of the donors (n = 520) were exposed to contrast medium, corresponding to 23% of recipients (n = 832). DGF was observed in 36% (n = 1321) and primary nonfunction in 3% (n = 122) of recipients. DGF rates for donation after brain death (DBD) and donation after circulatory death (DCD) donors showed no significant effect of contrast medium exposure (P = 0.15 and P = 0.60 for DBD and DCD donors, respectively). In multivariable analyses, contrast medium administration was not significantly associated with a higher DGF risk (odds ratio 1.06; 95% confidence interval, 0.86-1.36; P = 0.63) nor was a significant predictor for death-censored graft failure (hazard ratio 1.01; 95% confidence interval, 0.77-1.33; P = 0.93). Linear mixed models showed no difference in mean estimated glomerular filtration rate values in recipients 1 to 6 y posttransplantation (P = 0.78).

Conclusions.
This study indicates that contrast medium administration in DBD and DCD donors has no negative effect on early and long-term kidney graft function.
Intermittent Ex Vivo Lung Perfusion in a Porcine Model for Prolonged Lung Preservation
Authors: Sakanoue Ichiro , Okamoto Toshihiro , Ayyat Kamal S. , Yun James J. , Farver Carol F. , Fujioka Hisashi , Date Hiroshi , McCurry Kenneth R. 
Published: September 2023

Background.
Ex vivo lung perfusion expands the lung transplant donor pool and extends preservation time beyond cold static preservation. We hypothesized that repeated regular ex vivo lung perfusion would better maintain lung grafts.

Methods.
Ten pig lungs were randomized into 2 groups. The control underwent 16 h of cold ischemic time and 2 h of cellular ex vivo lung perfusion. The intermittent ex vivo lung perfusion group underwent cold ischemic time for 4 h, ex vivo lung perfusion (first) for 2 h, cold ischemic time for 10 h, and 2 h of ex vivo lung perfusion (second). Lungs were assessed, and transplant suitability was determined after 2 h of ex vivo lung perfusion.

Results.
The second ex vivo lung perfusion was significantly associated with better oxygenation, limited extravascular water, higher adenosine triphosphate, reduced intraalveolar edema, and well-preserved mitochondria compared with the control, despite proinflammatory cytokine elevation. No significant difference was observed in the first and second perfusion regarding oxygenation and adenosine triphosphate, whereas the second was associated with lower dynamic compliance and higher extravascular lung water than the first. Transplant suitability was 100% for the first and 60% for the second ex vivo lung perfusion, and 0% for the control.

Conclusions.
The second ex vivo lung perfusion had a slight deterioration in graft function compared to the first. Intermittent ex vivo lung perfusion created a better condition for lung grafts than cold static preservation, despite cytokine elevation. These results suggested that intermittent ex vivo lung perfusion may help prolong lung preservation.
Complex field reversal dynamics in nanomagnetic systems
Authors: Saccone Michael , Caravelli Francesco 
Published: September 2023

Nanomagnetic materials, built from thin, patterned films of ferromagnetic materials, began as analogues to frustrated magnetism. Their low energy of operation and emergent properties make them strong candidates for physics-based devices. A recent model of how nanomagnetic domains flip, the Glauber mean-field model, is used here to understand how systems of nanomagnets evolve when opposed by external field. This reversal can be expressed in an analytical form in the case of one-dimensional chains and trees at zero temperature, where the cascade of spin flips gives rise to harmonic power spectra. The same cascades in two and three dimensions form fractal field reversal clusters whose shape depends on the strength of the field and the tuning of interactions between nanomagnets.
Comparative analysis of the spatial distribution of brain metastases across several primary cancers using machine learning and deep learning models
Authors: Mahmoodifar Saeedeh , Pangal Dhiraj J. , Mason Jeremy , Salhia Bodour , Neman Josh , Zada Gabriel , Newton Paul K. 
Published: September 2023

ObjectiveBrain metastases (BM) are associated with poor prognosis and increased mortality rates, making them a significant clinical challenge. Therefore, studying BMs can aid in developing better diagnostic tools for their early detection and monitoring. Systematic comparisons of anatomical distributions of BM from different primary cancers, however, remain largely unavailable.MethodsTo test the hypothesis that anatomical BM distributions differ based on primary cancer type, we analyze the spatial coordinates of BMs for five different primary cancer types along principal component (PC) axes which optimizes their largest spread along each of the three PC axes. Data used in this analysis is taken from the International Radiosurgery Research Foundation (IRRF) and all patients underwent gamma-knife radiosurgery (GKRS) for the treatment of BMs which are labeled based on the primary cancer types Breast, Lung, Melanoma, Renal, and Colon. The dataset consists of six features including sex, age, target volume, and stereotactic Cartesian coordinates X, Y, and Z of a total of 3949 intracranial metastases. We employ PC coordinates to reduce the dimensionality of our dataset and highlight the distinctions in the anatomical spread of BMs between various cancer types. We utilized different Machine Learning (ML) algorithms: Random Forest (RF), Support Vector Machine (SVM), and TabNet Deep Learning (DL) model to establish the relationship between primary cancer diagnosis, spatial coordinates of BMs, age, and target volume.ResultsOur findings demonstrate that the first principal component (PC1) exhibits a greater alignment with the Y axis, followed by the Z axis, with a minimal correlation observed with the X axis. Based on our analysis of the PC1 versus PC2 plots, we have determined that the pairs of Breast and Lung cancer, as well as Breast and Renal cancer, exhibit the most notable distinctions in their anatomical spreading patterns. In contrast, we find that the pairs of Renal and Lung cancer, as well as Lung and Melanoma, were most similar in their patterns. Our ML and DL results indicate high accuracy in distinguishing the distribution of BM for different primary cancers, with the SVM algorithm achieving a 97% accuracy rate when using a polynomial kernel and TabNet a 96% accuracy. The RF algorithm ranks PC1 as the most important discriminating feature.ConclusionsTaken together, the results demonstrate an accurate multiclass machine learning classification with respect to the distribution of brain metastases.
DNA Tetrahedral Nanocages as a Promising Nanocarrier for Dopamine Delivery in Neurological Disorders
Authors: Singh Ramesh , Kansara Krupa , Mandal Sandip , Varshney Ritu , Gupt Sharad , Kumar Ashutosh , Maiti Prabal K , Bhatia Dhiraj 
Published: September 2023

AbstractDopamine is a neurotransmitter in the central nervous system that is essential for many bodily and mental processes, and a lack of it can cause Parkinson’s disease. DNA tetrahedral (TD) nanocages are promising in bio-nanotechnology, especially as a nanocarrier. TD is highly programmable, biocompatible, and capable of cell differentiation and proliferation. It also has tissue and blood-brain barrier permeability, making it a powerful tool that could overcome potential barriers in treating neurological disorders. In this study, we used DNA-TD as a carrier for Dopamine to cells and zebrafish embryos. We investigated the mechanism of complexation between TD and dopamine hydrochloride using gel electrophoresis, fluorescence and circular dichroism (CD) spectroscopy, atomic force microscopy (AFM), and molecular dynamic (MD) simulation tools. Further, we demonstrate these Dopamine-loaded DNA tetrahedral nanostructures’ cellular uptake and differentiation ability in SH-SY5Y neuroblastoma cells. Furthermore, we extended the study to zebrafish embryos as a model organism to examine survival and uptake. The research provides valuable insights into the complexation mechanism and cellular uptake of dopamine-loaded DNA tetrahedral nanostructures, paving the way for further advancements in nanomedicine for Parkinson’s disease and other neurological disorders.
Impacts of knowledge-based HRM, knowledge sharing and perceived organizational supports on innovation performance: a moderated-mediation analysis
Authors: Le Phong Ba , Ha Sy Van 
Published: September 2023

PurposeGiven the important role of knowledge resource for firms to pursuit innovation, this paper aims to investigate the influence of knowledge-based human resource management (HRM) practices on innovation performance through the mediating roles of tacit and explicit knowledge sharing (KS). This study also explores the potential moderating role of perceived organizational supports (POSs) in fostering the KS–innovation relationship of firms in the developing and emerging markets.Design/methodology/approachThe relationship among the latent variables is empirically examined through 289 employees from 118 manufacturing and service firms. Confirmatory factor analysis and structural equation modeling were performed to validate the constructs and estimate the regression coefficients of relationships.FindingsThe empirical findings of this study support the mediating role of KS behaviors in the relationship between knowledge-based HRM practices and innovation performance. It highlights the important role of POSs in stimulating the influence of KS behaviors on innovation performance.Research limitations/implicationsFuture research should investigate the impact of knowledge-based HRM practices on specific forms of innovation via the mediating effects of knowledge management processes to bring better understanding on the importance of knowledge resources in pursuing innovation competence.Originality/valueThe paper significantly contributes to enhancing understanding of the antecedent role of knowledge-based HRM practices in fostering KS behaviors and innovation performance under the moderating effects of POSs. Generally, it advances the body of comprehension of knowledge-based resources and innovation theory.
Towards sustainable audit quality: framework based on the UK financial reporting council
Authors: Ashrafi Mehdi , Abdoli Mohammadreza , Valiyan Hasan 
Published: September 2023

Purpose
One of the most emerging areas of audit knowledge is sustainable quality, which can comprehensively cover the development of audit reports inclusiveness for stakeholders. The purpose of this study is to present the sustainable audit quality (SAQ) framework based on the UK Financial Reporting Council.

Design/methodology/approach
The paper discusses the main concepts in both spreadsheets and process mining. Using a concrete data set as a running example, the different types of process mining are explained. Where spreadsheets work with numbers, process mining starts from event data with the aim to analyze processes.

Findings
The results of the study showed that the SAQ is more effective based on the two criteria of going concern and disclosure of key audit items. It was also determined that, based on total interpretive structural modeling, the two themes of debt covenants disclosure and assessment of firms’ leverage ratio have a higher priority for SAQ in the Tehran Stock Exchange.

Originality/value
This paper contributes to the discussion on the use of data mining for microarray databases and specifically for studying the present SAQ framework based on the UK Financial Reporting Council. An area that has not been paid attention to by prior research studies, and to the best of the authors’ knowledge, this study is the first research that attempts to provide the SAQ framework.
I can feel AI failure: the impact of service failure type and failure assessment on customer recovery expectation
Authors: Song Mengmeng , Xing Xinyu , Duan Yucong , Mou Jian 
Published: September 2023

PurposeBased on appraisal theory and social response theory, this study aims to explore the mechanism of AI failure types on consumer recovery expectation from the perspective of service failure assessment and validate the moderate role of anthropomorphism level.Design/methodology/approachThree scenario-based experiments were conducted to validate the research model. First, to test the effect of robot service failure types on customer recovery expectation; second, to further test the mediating role of perceived controllability, perceived stability and perceived severity; finally, to verify the moderating effect of anthropomorphic level.FindingsNon-functional failures reduce consumer recovery expectation compared to functional failures; perceived controllability and perceived severity play a mediating role in the impact of service failure types on recovery expectation; the influence of service failure types on perceived controllability and perceived severity is moderated by the anthropomorphism level.Originality/valueThe findings enrich the influence mechanism and boundary conditions of service failure types, and have implications for online enterprise follow-up service recovery and improvement of anthropomorphic design.
Nonprofit governance in times of Covid-19: should organizations change their practices and strategy in the middle of a crisis?
Authors: Plaisance Guillaume 
Published: September 2023

Purpose
In the face of crises, nonprofit organizations (NPOs) have focused on their financial viability but there are other operational aspects to consider (e.g. activity or volunteer involvement). This study aims to investigate whether governance changes made by NPOs in times of crisis have enhanced organizational viability in a broader sense.

Design/methodology/approach
Through community-engaged research, the link between governance changes and organizational viability is examined. This study is based on a survey of 10,926 French NPOs and the conceptual framework of societal orientation.

Findings
They show that changing governance in the midst of a crisis can protect organizational viability, if the beneficiaries and members remain the core of the strategic target and if the content of volunteering remains stable.

Research limitations/implications
This study, therefore, calls for a better study of the risks of governance changes for internal stakeholders, both at the level of scholars and within the organizations themselves. The results extend recent works on governance change and highlight the relevance of societal orientation in times of crisis.

Practical implications
This study helps to counter the criticisms regularly made about governance (particularly in France) and highlights the importance of maintaining the board of directors in NPOs. It invites NPOs to make decisions that protect their values, mission and beneficiaries at all times.

Originality/value
This study focuses on societal orientation in relation to stakeholder theory, as well as the nonfinancial aspects of viability.
How does a hospital servicescape impact the well-being and satisfaction of both health care customers and professionals?
Authors: Sweeney Jillian C. , Frow Pennie , Payne Adrian , McColl-Kennedy Janet R. 
Published: September 2023

Purpose
The purpose of this study is to examine how servicescapes impact well-being and satisfaction of both hospital customers (patients) and health care professional service providers.

Design/methodology/approach
The study investigates how a hospital servicescape impacts two critical outcomes – well-being and satisfaction – of both hospital patients (customers) and health care professionals, who are immersed in that environment.

Findings
The hospital servicescape had a greater impact on physical, psychological and existential well-being for professionals than for patients. However, the reverse was true for satisfaction. The new servicescape enhanced the satisfaction and physical and psychological well-being of professionals but only the satisfaction of customers.

Research limitations/implications
The study implications for health care policy suggest that investment in health care-built environments should balance the needs of health care professionals with those of customers to benefit their collective well-being and satisfaction.

Practical implications
Based on the findings, the authors propose that servicescape investments should focus on satisfying the physical needs of patients while also placing emphasis on the psychological needs of professionals.

Social implications
Health care spending on physical facilities should incorporate careful cost-benefit analysis, ensuring that beneficial features for both user groups are included in new hospital designs, omitting features that are less supportive of well-being.

Originality/value
To the best of the authors’ knowledge, this study is the first to compare the impact of the same real-life servicescape on the satisfaction of both customers and service providers (professionals) and considers the critical health outcome of well-being.
Revised Essential 8: the importance of boundary spanning roles
Authors: Cosenza Michael , Burns Rebecca West , Badiali Bernard , Coler Cynthia , Goree Krystal , Polly Drew , Stoicovy Donnan , Zenkov Kristien 
Published: September 2023

PurposeThis paper aims to provide details around Essential 8 of the Second Edition of the National Association for Professional Development Schools (NAPDS) Nine Essentials (NAPDS, 2021), which focuses on boundary spanning roles across university and P-12 school settings.Design/methodology/approachThis paper represents an in-depth look at one element of a policy statement of the NAPDS. The Nine Essentials were reviewed over a 4-year period through meetings, focus groups and symposia with various stakeholder groups. These provided context and information for both the revision of the policy statement and the writing of this article (and the other articles in the series).FindingsThe intention of this series of articles is to provide a deepened understanding of the complexities of P-12 School and University partnerships. Each of the essential elements provides a framework for developing new PDSs and sustaining existing partnerships for the long term.Originality/valueThis is a reprint request.
Differences in support within the social science graduate admissions pipeline
Authors: Tidwell Michael L. , Logan Ellis S. 
Published: September 2023

Purpose
The purpose of this paper is to understand demographic group (race, first-generation college graduate, gender, age) differences among perceived family and faculty social and family financial support within the US graduate school admissions pipeline in the social sciences.

Design/methodology/approach
Using data from a cross-sectional convenience sample survey (N = 99), this paper looks at ordinal social support variables (faculty member support, family social support and family financial support) by demographic groups. This paper uses a Mann–Whitney U test to compare first-generation status, race and gender and a Kruskal–Wallis H test to compare age groups.

Findings
This paper finds that applicants over 27 years old had significantly less faculty support in the graduate admissions pipeline compared to other age groups; differences in faculty support across race were marginally significant (p = 0.057). Regarding family social support, this paper finds first-generation applicants, male applicants and applicants over 27 years old report lower levels of support. Finally, this paper finds first-generation applicants and applicants over 27 years old report lower levels of familial financial support.

Originality/value
Previous literature on graduate admissions – published in this journal (Pieper and Krsmanovic, 2022) and others – does not consider experiences up to and before applicants hit the “submit” button on graduate applicants, which the authors term the graduate admissions pipeline. Instead, most previous literatures focus on faculty committees and validity of required application materials. Thus, this study begins to answer Posselt and Grodsky’s (2017) call to develop an understanding of applicant experiences and support within the graduate admissions pipeline.