bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging template
Authors: van den Elshout Rik , Ariëns Benthe , Blaauboer Joost , Meijer Frederick J A , van der Kolk Anja G , Esmaeili Morteza , Scheenen Tom W J , Henssen Dylan J H A 
Published: December 2023

AbstractBackgroundSurvival outcomes for glioblastoma (GBM) patients remain unfavorable, and tumor recurrence is often observed. Understanding the radiological growth patterns of GBM could aid in improving outcomes. This study aimed to examine the relationship between contrast-enhancing tumor growth direction and white matter, using an image registration and deformation strategy.MethodsIn GBM patients 2 pretreatment scans (diagnostic and neuronavigation) were gathered retrospectively, and coregistered to a template and diffusion tensor imaging (DTI) atlas. The GBM lesions were segmented and coregistered to the same space. Growth vectors were derived and divided into vector populations parallel (Φ = 0–20°) and perpendicular (Φ = 70–90°) to white matter. To test for statistical significance between parallel and perpendicular groups, a paired samples Student’s t-test was performed. O6-methylguanine-DNA methyltransferase (MGMT) methylation status and its correlation to growth rate were also tested using a one-way ANOVA test.ResultsFor 78 GBM patients (mean age 61 years ± 13 SD, 32 men), the included GBM lesions showed a predominant preference for perineural satellitosis (P &lt; .001), with a mean percentile growth of 30.8% (95% CI: 29.6–32.0%) parallel (0° &lt; |Φ| &lt; 20°) to white matter. Perpendicular tumor growth with respect to white matter microstructure (70° &lt; |Φ| &lt; 90°) showed to be 22.7% (95% CI: 21.3–24.1%) of total tumor growth direction.ConclusionsThe presented strategy showed that tumor growth direction in pretreatment GBM patients correlated with white matter architecture. Future studies with patient-specific DTI data are required to verify the accuracy of this method prospectively to identify its usefulness as a clinical metric in pre and posttreatment settings.
Nannies go rogue? A call for research into nanny-induced elder abuse in China
Authors: Su Z , McDonnell D , Bentley B L , Dai W , Diao Y , Feng Y , Kadier S , Milawuti P , Alimu T , Dawadanzeng  , Wu X , Jiang J , Liu Y , Yu X , Zou X , Nie J -B , da Veiga C P , Xiang Y -T 
Published: December 2023

Summary
Older people often face varied and vicious abuse from care workers. Situations are typically more pronounced for older people who live with additional cognitive or physical difficulties, such as dementia and disabilities, the prevalence of which has been on the rise in China and elsewhere. Recent reported discoveries of elder abuse in China, which span alarming levels of verbal, physical, psychological, financial, and sexual abuse, have almost all been caused by nannies or ‘bao mu’. Different from Western countries, the word nanny is often used to refer to people who offer caregiving help in residential settings at large, regardless of the age of the care recipients. What is also different is the lack of regulations or even rigorous training and evaluation processes for nannies in China: almost anyone can become a nanny—even though a background check is often required for nannies, this process is often highly variable and dependent on the specific labour agencies that nannies are registered with. Yet without structured studies and systematic data, little is known about the extent and severity of nanny-induced elder abuse in China. To this end, this article aims to discuss the unique elderly care environment—such as the ‘721 Rule’—in China, particularly in the post-COVID era, and highlight the critical need for timely and rigorous studies on the potential prevalence and severity of nannies’ abuse and neglect of older people.
Neonatal Assessment
Authors: Moss Colleen Reilly , Nation Helen 
Published: December 2023

Background:
Assessment of the foot is an essential part of the newborn examination. Foot abnormalities range from an isolated deformity due to intrauterine positioning to a functional impairment due to a structural malformation. The purpose of this article is to review assessment, abnormal findings, and current treatment options of common foot deformities.

Evidence Acquisition:
A review of literature was conducted using keywords in PubMed, Google Scholar, and CINAHL databases from 2018 to 2023.

Results:
Although assessment techniques for the neonatal foot remain the same, recent nonsurgical treatment options are available for a variety of neonatal foot deformities. Early recognition allows for proper evaluation of foot deformities and corrective measures.

Implications for Practice and Research:
Neonatal providers equipped with knowledge of common foot problems can provide support and anticipatory guidance to families.
Diagnostic Accuracy of Cardiac Point-of-Care Ultrasound in a Tertiary Medical Intensive Care Unit
Authors: Fox Steven , Alwakeel Mahmoud , Wang Xiaofeng , Dugar Siddharth , Chaisson Neal 
Published: December 2023

Objective:
Critical care echocardiography (CCE) is a useful tool for managing critically ill patients in intensive care. However, concerns exist regarding the accuracy of CCE examinations because of operator dependence. We sought to evaluate the accuracy of CCE examinations compared with cardiology-performed transthoracic echocardiogram (TTE).

Design, Setting, and Subjects:
We retrospectively reviewed charts of patients in a medical ICU in a large academic medical center in the United States. We compared CCE examinations performed by a fellow and reviewed by a staff physician between May 5, 2020, and December 31, 2021, to TTE obtained within 24 hours of the CCE examination.

Intervention, Measurements, and Main Results:
We developed a standardized process for documentation of all CCE examinations performed in the medical ICU. We assessed agreement (kappa statistic), sensitivity and specificity of CCE examination compared with TTE. Features included left ventricle (LV) systolic function, right ventricle (RV) size, RV systolic function, pericardial effusion, mitral insufficiency, tricuspid insufficiency, and aortic insufficiency. The study analyzed 504 pairs of CCE and TTE examinations. Kappa statistics for detecting LV and RV systolic dysfunction, pericardial effusion, and RV size ranged from 0.60 to 0.74. CCE showed high sensitivity and specificity for detecting LV and RV systolic dysfunction and pericardial effusion, with values ranging from 0.85 to 0.99. The kappa statistic for detecting RV dilation was 0.59, with a sensitivity of 0.71 and a specificity of 0.85. In contrast, CCE examinations were nondiagnostic for mitral, tricuspid, or aortic insufficiency in 60–70% of cases, whereas TTE examinations were nondiagnostic in 20–30% of cases. Kappa statistics for mitral, tricuspid, and aortic insufficiency ranged from 0.32 to 0.42.

Conclusions:
CCE is a reliable tool for assessing LV and RV systolic function, pericardial effusion, and RV size. However, CCE may be limited in its ability to detect mitral, tricuspid, or aortic insufficiency.
Unusual Presentation of Lymphangioma Circumscriptum of the Vulva: In Association With Crohn Disease
Authors: Calhau Ana , Salgueiro Neto Rita , Leiria Gomes Rita , Freitas Tânia , Oliveira Isabel 
Published: December 2023

Abstract
Lymphangioma circumscriptum (LC) is a rare benign condition, with marked dilation of surface lymphatic vessels in the deep and subcutaneous layers. Vulvar LC can become a highly disabling condition with vulvar discomfort, itching, burning and lymph seeping being the dominant symptoms. Biopsy is mandatory for the diagnosis. There is no consensus on the standard treatment for vulvar LC and recurrence is frequent. In complex cases with wide disease location, combination of different treatment options, such as abrasive methods and surgery, may lead to the best clinical and aesthetical result, with extended disease-free periods. We present a patient with a long history of Crohn disease with multiple pelvic surgeries who developed an extensive vulvar LC.
Enhancement of antibody thermostability and affinity by computational design in the absence of antigen
Authors: Hutchinson Mark , Ruffolo Jeffrey A. , Haskins Nantaporn , Iannotti Michael , Vozza Giuliana , Pham Tony , Mehzabeen Nurjahan , Shandilya Harini , Rickert Keith , Croasdale-Wood Rebecca , Damschroder Melissa , Fu Ying , Dippel Andrew , Gray Jeffrey J. , Kaplan Gilad 
Published: December 2023

AbstractOver the last two decades, therapeutic antibodies have emerged as a rapidly expanding domain within the field biologics. In silico tools that can streamline the process of antibody discovery and optimization are critical to support a pipeline that is growing more numerous and complex every year. In this study, DeepAb, a deep learning model for predicting antibody Fv structure directly from sequence, was used to design 200 potentially stabilized variants of an anti-hen egg lysozyme (HEL) antibody. We sought to determine whether DeepAb can enhance the stability of these antibody variants without relying on or predicting the antibody-antigen interface, and whether this stabilization could increase antibody affinity without impacting their developability profile. The 200 variants were produced through a robust highthroughput method and tested for thermal and colloidal stability (Tonset, Tm, Tagg), affinity (KD) relative to the parental antibody, and for developability parameters (non-specific binding, aggregation propensity, self-association). In the designed clones, 91% and 94% exhibited increased thermal and colloidal stability and affinity, respectively. Of these, 10% showed a significantly increased affinity for HEL (5-to 21-fold increase), with most clones retaining the favorable developability profile of the parental antibody. These data open the possibility ofin silicoantibody stabilization and affinity maturation without the need to predict the antibody-antigen interface, which is notoriously difficult in the absence of crystal structures.
Dynamic assessment of stakeholder conflict risk for R&D project portfolios
Authors: Bai Libiao , Zhao Xuyang , Kang ShuYun , Ma Yiming , Zhang BingBing 
Published: December 2023

PurposeResearch and development (R&D) projects are often pursued through a project portfolio (PP). R&D PPs involve many stakeholders, and without proactive management, their interactions may lead to conflict risks. These conflict risks change dynamically with different stages of the PP life cycle, increasing the challenge of PP risk management. Existing conflict risk research mainly focuses on source identification but lacks risk assessment work. To better manage the stakeholder conflict risks (SCRs) of R&D PPs, this study employs the dynamic Bayesian network (DBN) to construct its dynamic assessment model.Design/methodology/approachThis study constructs a DBN model to assess the SCRs in R&D PP. First, an indicator system of SCRs is constructed from the life cycle perspective. Then, the risk relationships within each R&D PPs life cycle stage are identified via interpretative structural modeling (ISM). The prior and conditional probabilities of risks are obtained by expert judgment and Monte Carlo simulation (MCS). Finally, crucial SCRs at each stage are identified utilizing propagation analysis, and the corresponding risk responses are proposed.FindingsThe results of the study identify the crucial risks at each stage. Also, for the crucial risks, this study suggests appropriate risk response strategies to help managers better perform risk response activities.Originality/valueThis study dynamically assesses the stakeholder conflict risks in R&D PPs from a life-cycle perspective, extending the stakeholder risk management research. Meanwhile, the crucial risks are identified at each stage accordingly, providing managerial insights for R&D PPs.
A multilevel investigation of team relationship conflict and employee-level subjective career success
Authors: Ullah Rahman , Kundi Yasir Mansoor , Shahid Subhan 
Published: December 2023

Purpose
Based on affective event theory (AET), this study aims to unpack the association between team relationship conflict and employees’ subjective career success by examining the mediating role of negative emotions and the moderating role of emotional intelligence.

Design/methodology/approach
Using Mplus 8.1, the study analyzes multi-level, multi-wave data collected from 288 employees in 51 teams across Pakistan.

Findings
The results indicate that team relationship conflict is negatively associated with employees’ subjective career success, both in terms of career satisfaction and job satisfaction. While employees’ negative emotions partially mediate this negative relationship, emotional intelligence moderates the association between team relationship conflict and negative emotions, such that individuals with higher emotional intelligence experience less negative emotions.

Originality/value
This study advances career research by demonstrating how and when team relationship conflict is related to employees’ subjective career success. It also extends current understanding of the mediating and moderating mechanisms behind the association between team relationship conflict and employees’ subjective career success.
Investigation of rail damage considering impact at a welded joint under wet condition
Authors: Wang Zhaoyang , Wu Bing , Huang Jiaqing , Yang Yuqi , Xiao Guangwen 
Published: December 2023

Purpose
The purpose of this study is to develop a transient wheel–rail rolling contact model to primarily investigate the rail damage under wet condition when the train passes through the welded joints.

Design/methodology/approach
The impact force induced by welded joints is obtained through vehicle–track coupling dynamics. The normal and tangential wheel–rail contact pressures were solved by elastohydrodynamic lubrication (EHL) theory and simplified third-body layer theory, respectively. Then, the obtained tangential pressure and normal pressure were applied to the finite element model as moving loads, simulating cyclic loading. Finally, the shakedown map and critical plane method were used to predict rolling contact fatigue (RCF) and the initiation of fatigue cracks.

Findings
The results indicate that RCF will occur and fatigue cracks are more prone to appear on the subsurface of the rail, specifically around 2.7 mm below the rail surface in the vicinity of the welded joint and its heat-affected zone.

Originality/value
The cosimulation of numerical model and finite element model was implemented. The influence of surface roughness and fluids was considered. In this model, the normal and tangential wheel–rail contact pressure, the stress and strain and the rail fatigue cracks were obtained under a rail-welded joint excitation.
Exploring factors influencing educators’ adoption of ChatGPT: a mixed method approach
Authors: Hidayat-ur-Rehman Imdadullah , Ibrahim Yasser 
Published: December 2023

Purpose
A number of recent artificial intelligence (AI)-enabled technologies, including summarisers, paraphrasers and the cutting-edge chatbots not only have outstanding potentials in modern educational systems but also could lead to a dramatic paradigm shift in the whole education process. This study aims to explore the factors that shape the academic community’s desire and intention to use AI conversational chatbot technology, with a particular focus on the leading ChatGPT.

Design/methodology/approach
This study uses a mixed method approach to explore the educators’ adoption of chatbots through an empirically validated model. The model, known as the “Educators’ Adoption of ChatGPT”, was developed by integrating the theoretical foundations of both the Unified Theory of Acceptance and Use of Technology and Status Quo Bias (SQB) frameworks, as well as insights gathered from interviews. The relationships within this model were then tested using a quantitative approach. The partial least squares-structural equation modelling method was used to analyse 243 valid survey responses.

Findings
The outcomes of the analysis indicated that perceived educators’ effort expectancy, educators’ autonomous motivation, perceived learners’ AI competency, perceived educators’ competency, innovative behaviour towards technological agility and perceived students’ engagement are significant determinants of educators’ intention to use chatbots. In contrast, perceived unfair evaluation of students, perceived students’ overreliance and perceived bias/inaccuracies were shown to have significant impacts on the resistance to use the technology, which typically implies a negatively significant influence on the educators’ use intention. Interestingly, perceived fraudulent use of ChatGPT was proven insignificant on the resistance to use chatbots.

Originality/value
This study makes a significant contribution to the field of educational technology by filling the gap in research on the use and acceptance of AI-enabled assistants in education. It proposes an original, empirically validated model of educator adoption, which identifies the factors that influence educators’ willingness to use chatbots in higher education and offers valuable insights for practical implementation.
SDG commentary: services from institutions that offer fair and sustainable living for all humans
Authors: Gordon Ross , Vink Josina 
Published: December 2023

Purpose
The purpose of this commentary is to present a critically constructive examination of the contribution of service research to the development of services from institutions that offer fair and sustainable living for all humans.

Design/methodology/approach
The authors draw upon critical thinking and critical social theory to problematise the neoliberal agenda (e.g. marketisation and privatisation) that shapes the service ecosystems within which the sustainable development goals (SDGs) and service research relating to SDG11 – sustainable cities and communities – and SDG16 – peace, justice and strong institutions – are often based. The authors critically review extant literature aimed at these goals and present constructive pathways for transformative social change to foster fair and sustainable living for all.

Findings
The authors find that the United Nations institutions, the SDGs and the service ecosystems that shape the research and practice addressing SDG11 and SDG16 are often grounded in neoliberal capitalist ideology that may inhibit transformative change. While service research has made some relevant and important contributions to support the development of services from institutions that offer fair and sustainable living, there is a need to consider alternative assumptions upon which service research and service design can be based to fully realise such transformative goals.

Originality/value
This commentary encourages service research scholars to engage with critically constructive perspectives that harness critique for transformative change.
Microbiome mediating methane and nitrogen transformations in a subterranean estuary
Authors: Euler Sebastian , Jeffrey Luke C. , Maher Damien T. , Johnston Scott G. , Sugimoto Ryo , Tait Douglas R. 
Published: December 2023

AbstractSubterranean estuaries (STEs) are important coastal biogeochemical reactors facilitating unique niches for microbial communities. A common approach in determining STE greenhouse gas and nutrient fluxes is to use terrestrial endmembers, not accounting for microbially mediated transformations throughout the STE. As such, the microbial ecology and spatial distribution of specialists that cycle compounds in STEs remain largely underexplored. In this study, we applied 16S rRNA amplicon sequencing with paired biogeochemical characterisations to spatially evaluate microbial communities transforming greenhouse gases and nutrients in an STE. We show that methanogens are most prevalent at the terrestrial end (up to 2.81% relative abundance) concomitant to the highest porewater methane, carbon dioxide and dissolved organic carbon concentrations (0.41 ± 0.02 μM, 273.31 ± 6.05 μM and 0.51 ± 0.02 mM, respectively). Lower ammonium concentrations corresponded with abundant nitrifying and ammonia‐oxidising prokaryotes in the mixing zone (up to 11.65% relative abundance). Methane, ammonium and dissolved organic carbon concentrations all decreased by >50% from the terrestrial to the oceanic end of the 15 m transect. This study highlights the STE's hidden microbiome zonation, as well as the importance of accounting for microbial transformations mitigating nutrient and greenhouse gas fluxes to the coastal ecosystems.
Evaluating the effectiveness of key components of Zones of Regulation™ curriculum training on teachers' self‐efficacy at managing self‐regulation needs in autistic pupils
Authors: Öhlböck Elisabeth , Stinson May , McClintock Katrina , Turtle Beverley 
Published: December 2023

AbstractThere has been a rise in autistic pupils in the mainstream classroom. Teachers have often reported frustration caused by a lack of training on managing autistic pupils' presentations. The aim of this study was to investigate the effect of an online training programme comprising the main paradigms and resources of the Zones of Regulation™ curriculum on teachers' sense of self‐efficacy when managing autistic pupils' self‐regulation needs in the mainstream primary school classroom. Purposive sampling was used to identify primary 5, 6 and 7 teachers with at least one autistic pupil with self‐regulation needs in their current class. An occupational therapist with post‐graduate qualifications in autism and sensory processing provided a 2.5‐hour online training session on the Zones of Regulation™ curriculum for participants. The Teachers' Sense of Efficacy Scale (TSES) was completed pre‐ and post‐training and at two‐month follow‐up. The Usage Rating Profile‐Intervention Revised was completed post‐training and a survey exploring participants' experience of implementing the Zones of Regulation™ curriculum with their autistic pupils was completed at two‐month follow‐up. Findings showed that online training in the use of the Zones of Regulation™ curriculum significantly improved TSES scores for teachers (p < 0.001). The curriculum was also shown to be an acceptable, understandable and feasible intervention for primary school teachers in the mainstream classroom. This study suggests that education authorities should consider providing training opportunities on the Zones of Regulation™ curriculum to support teachers in the mainstream classroom. It also demonstrates the important role occupational therapists, with post‐graduate qualifications in autism and sensory processing, have in capacity building within education.