bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oleylamine-grafted carbon nanoparticles as the friction-reducing and anti-wear additives of aviation lubricating oils
Authors: Liu Xiang , Cheng Xinghai , Feng Pengyu , Li Jing , Tang Zhongping , Wang Jiangbing , Chen Yonggang , Zhu Hongjie , Wan Hengcheng , Zhang Lei 
Published: November 2024

Purpose
This paper aims to try to develop new, environmentally friendly and efficient lubricating additives; study the compatibility of carbon-based additives with different base oils [Polyalphaolefin (PAO)-3, PAO-20 and NPE-2]; and explore the lubrication mechanism.

Design/methodology/approach
Oleylamine modified carbon nanoparticles (CNPs-OA) were prepared and the dispersion stability of CNPs-OA in PAO-3, PAO-20 and NPE-2 base oils was investigated by transmission electron microscopy, Fourier transform infrared, thermogravimetric analysis, energy dispersive spectroscopy and X-ray photoelectron spectroscopy. Universal Mechanical Tester (UMT) platform was used to carry out experiments on the effects of different additive concentrations on the lubricating properties of base oil.

Findings
The mean friction coefficient of PAO-3, PAO-20 and NPE-2 reduced by 32.8%, 10.1% and 11.4% when the adding concentration of CNPs-OA was 1.5, 2.0 and 0.5 Wt.%, respectively. Generally, The CNPs-OA exhibited the best friction-reducing and anti-wear performance in PAO-3.

Originality/value
The agglomeration phenomenon of carbon nanoparticles as lubricating additive was improved by surface modification, and the lubricating effect of carbon nanoparticles in three synthetic aviation lubricating base oils was compared.
Managing the tensions between tradition and innovation in family firms
Authors: Gil Miguel , Thor Kajsa , Gemheden Adam 
Published: November 2024

PurposeThis study explores the relationship between innovation and tradition in family firms. By examining how these firms manage the potential tension between these two elements, the study aims to understand better how innovation and tradition coexist and support long-term survival across generations.Design/methodology/approachThis study has a constructivist standpoint and follows a qualitative methodology. By conducting a comparative case study, the data are collected from semi-structured interviews with 10 participants in 4 case companies located in Sweden. The data are analysed using thematic analysis.FindingsThis study found that managing the tension between innovation and tradition is carried out through four mechanisms: forward thinking through heritage, paradoxical thinking, operational control and governance. Moreover, the study further shows the great importance of the concept of intergenerational learning in family firms in managing tension.Originality/valueThe findings from this study contribute to the existing literature in family firms concerning managing tradition and innovation by providing a novel conceptualisation of the mechanisms embedded in this process. Moreover, the article proposes a grounded model, which could be used in research and practice when dealing with similar issues.
A text analytics study on the alignment of an Indonesian Muslim community’s municipal corporation policy with Sustainable Development Goals
Authors: Hudaefi Fahmi Ali 
Published: November 2024

PurposeThis study analyses the supervision policy of Municipal Corporations (MCs) in the Indonesian Muslim community regarding its alignment with the United Nations Sustainable Development Goals (SDGs).Design/methodology/approachAs a single case study, purposive sampling was adopted to select a municipal corporation policy issued by Ciamis Regency, West Java, Indonesia. A novel mixed methods approach, combining computer analytics and human intelligence, was introduced to perform text analytics.FindingsText mining identified the most frequently occurring words — e.g., ‘perumda’ (municipal corporation), ‘daerah’ (regional), ‘pengawas’ (supervisor), ‘peraturan’ (regulation) — from the sample but found no single word indicating business alignment with SDGs. Further qualitative inductive analysis was conducted, revealing the critical role of MCs’ supervisory boards in business planning, execution, and reporting to align the MC businesses with local SDG initiatives.Originality/valueAligning MC business activities with local SDG actions is entirely within the authority of supervisory boards which demands transformational leadership. This research pioneered an innovative blend of computer-assisted techniques and human reasoning to investigate the supervision policies of MCs concerning local SDG actions, with evidence from a Muslim community in Indonesia.
Internal physiological drivers of leaf development in trees: Understanding the relationship between non‐structural carbohydrates and leaf phenology
Authors: Luo Yunpeng , Zohner Constantin , Crowther Thomas W. , Feng Jianlan , Hoch Günter , Li Peng , Richardson Andrew D. , Vitasse Yann , Gessler Arthur 
Published: November 2024

Abstract

Plant phenology is crucial for understanding plant growth and climate feedback. It affects canopy structure, surface albedo, and carbon and water fluxes. While the influence of environmental factors on phenology is well‐documented, the role of plant intrinsic factors, particularly internal physiological processes and their interaction with external conditions, has received less attention.

Non‐structural carbohydrates (NSC), which include sugars and starch essential for growth, metabolism and osmotic regulation, serve as indicators of carbon availability in plants. NSC levels reflect the carbon balance between photosynthesis (source activity) and the demands of growth and respiration (sink activity), making them key physiological traits that potentially influence phenology during critical periods such as spring leaf‐out and autumn leaf senescence. However, the connections between NSC concentrations in various organs and phenological events are poorly understood.

This review synthesizes current research on the relationship between leaf phenology and NSC dynamics. We qualitatively delineate seasonal NSC variations in deciduous and evergreen trees and propose testable hypotheses about how NSC may interact with phenological stages such as bud break and leaf senescence. We also discuss how seasonal variations in NSC levels, align with existing conceptual models of carbon allocation.

Accurate characterization and simulation of NSC dynamics are crucial and should be incorporated into carbon allocation models. By comparing and reviewing the development of carbon allocation models, we highlight the shortcomings in current methodologies and recommend directions to address these gaps in future research.

Understanding the relationship between NSC, source–sink relationships, and leaf phenology poses challenges due to the difficulty of characterizing NSC dynamics with high temporal resolution. We advocate for a multi‐scale approach that combines various methods, which include deepening our mechanistic understanding through manipulative experiments, integrating carbon sink and source data from multiple observational networks with carbon allocation models to better characterize the NSC dynamics, and quantifying the spatial pattern and temporal trends of the NSC‐phenology relationship using remote sensing and modelling. This will enhance our comprehension of how NSC dynamics impact leaf phenology across different scales and environments.

Read the free Plain Language Summary for this article on the Journal blog.
Food packaging technology considerations for designers: Attending to food, consumer, manufacturer, and environmental issues
Authors: Turan Deniz , Keukens Barbera M. , Schifferstein Hendrik N. J. 
Published: November 2024

AbstractFood packaging is essential for preserving food safety and quality while also addressing environmental concerns. Designers are at the forefront of developing packaging solutions that not only meet functional requirements but also align with evolving consumer preferences and sustainability concerns. To inform designers, this paper discusses fundamental principles of food packaging technology, encompassing aspects such as food preservation, distribution, marketing, usability, and disposal. It provides examples of innovations in active and smart packaging, nanotechnology, material biodegradability, and recyclability, as well as strategies to reduce packaging waste. By providing future food packaging designers with this essential knowledge and these insights, we hope to encourage them to contribute to future innovations that meet the needs of consumers and the environment.
Mapping migrants’ narratives: A qual‐GIS approach to Cairns’ urban liveability
Authors: Dadpour Rana , Law Lisa , Osbaldiston Nick 
Published: November 2024

AbstractThis study introduces a novel approach to urban liveability research by combining interviews with participatory mapping techniques. More specifically, the research integrates concepts from geographic information systems (GISs) with episodic narrative interviews to develop a qualitative GIS (qual‐GIS) methodology to map and interpret the spatial experiences of recent migrants to Cairns. This qual‐GIS approach involves participants annotating amenity maps with personal narratives, effectively geolocating subjective experiences, and providing visual representations of liveability insights. During mapping sessions, participants identified and highlighted significant locations by annotating maps with pens and sticky notes to express their spatial stories and place attachments. Analysis of annotated maps in ArcGIS enabled the juxtaposition of qualitative insights with quantitative data, offering a rich, spatially informed understanding of liveability in place. The maps transcended their function as mere analytical instruments or memory aides, and the activity evolved into a platform for migrants to articulate experiences of, and emotional ties to the city. This approach enhances understandings of urban liveability from first‐hand experiences and establishes qual‐GIS approaches as valuable tools in urban and regional policy and research.
mignette: An R package for creating and visualizing migratory network models
Authors: DeSaix Matthew G. , Bossu Christen M. , Hagelin Julie C. , Harrigan Ryan J. , Saracco James F. , Somveille Marius , Taylor Caz M. , Ruegg Kristen C. 
Published: November 2024

Abstract

A prominent challenge for managing migratory species is the development of conservation plans that accommodate spatiotemporally varying distributions throughout the year. Migratory networks are spatially‐explicit models that incorporate migratory assignment and seasonal abundance data to define patterns of connectivity between stages of the annual cycle. These models are particularly useful for widespread application because different types of migratory data can be used to quantify individual and population‐level movement across the annual cycle of migratory species. While there are clear benefits of combining migratory assignment and abundance data for the development of conservation strategies, there is a concurrent need for corresponding user‐friendly software to facilitate the integration of these data for conservation.

Here, we present mignette (migratory network tools ensemble), an R package for developing migratory network models to estimate network connectivity among migratory populations. We demonstrate the functionality of mignette with three empirical examples that highlight the use of different types of tracking data for migratory assignment.

mignette facilitates the modelling of migratory networks by providing R functions to: (1) define breeding and nonbreeding nodes, (2) assemble abundance and assignment data and (3) model the migratory network. Additionally, mignette provides R functions to visualize modelled migratory networks.

With increasing availability of migratory assignment and abundance data, mignette represents a valuable tool for developing effective conservation strategies for migratory species.
Documentation of incidentally noted hepatic steatosis to emergency department patients: A retrospective study
Authors: Kontrick Amy V. , Alinger Joshua B. , Goins Emily C. , Mollo Alessia F. , Cruz Daniel S. , McCarthy Danielle M. 
Published: November 2024

AbstractBackgroundHepatic steatosis is a common incidental finding on emergency department (ED) imaging studies, occurring in up to 10% of studies, and carries significant long‐term morbidity. Frequently considered an unimportant finding, it is unknown how often ED patients are informed of hepatic steatosis. Our objective was to examine hepatic steatosis inclusion in ED discharge materials.MethodsData from discharged patients at an urban academic ED (>90,000 visits) with abdominal imaging (computed tomography or ultrasound) from 2019 to 2022 were screened. Patients with radiology reports documenting hepatic steatosis were included. Two trained data abstractors analyzed discharge materials and coded disclosure of steatosis (present/absent). Data abstraction also noted how the finding was included (e.g., follow‐up instructions, provision of radiology report). Factors associated with patient disclosure were examined through regression models including age, race, ethnicity, insurance, number of imaging studies during encounter, type of imaging study, and inclusion of hepatic steatosis in the impression section of radiology report.ResultsOf 10,677 radiology reports, 1209 (11.3%) had documented hepatic steatosis. The mean (±SD) age was 47.1 (±14.1) years; 56.4% were female, 53.5% were White, and 30.7% Hispanic. Only 173 of 1209 patients (14.3%) received any discharge documentation of hepatic steatosis. In 65% of cases where disclosure occurred, the imaging report was pasted verbatim into discharge material. There were no significant differences in discharge documentation by demographic groups. Mention within the radiology report impression (rather than the report body alone) occurred in 73.8% of records and was the strongest predictor of disclosure to patients (adjusted odds ratio 2.18, 95% confidence interval 1.39–3.54).ConclusionsDespite the high prevalence of hepatic steatosis in radiology reports, rates of documentation in patient‐facing discharge materials are notably low, exposing a possible communication failure with consequences for diagnosis.
Gastroesophageal reflux disease increases predisposition to severe COVID‐19: Insights from integrated Mendelian randomization and genetic analysis
Authors: Pan Jingjing , Li Jianhua 
Published: November 2024

AbstractObjectiveThis study aims to investigate the potential causal relationship, shared genomic loci, as well as potential molecular pathways and tissue‐specific expression patterns between gastroesophageal reflux disease (GERD) and the risk of hospitalized/severe 2019 coronavirus disease (COVID‐19).MethodsWe employed linkage disequilibrium score regression and bidirectional Mendelian randomization (MR) analysis to explore potential genetic associations between GERD (N = 602,604) and hospitalized COVID‐19 (N = 2095,324) as well as severe COVID‐19 (N = 1086,211). Additionally, shared genomic loci were extracted from common pivotal regions, further confirmed through corresponding colocalization analyses. GERD‐driven molecular pathway network was constructed using extensive literature data mining to understand the molecular‐level impacts of GERD on COVID‐19.ResultsOur results revealed a significant positive genetic correlation between GERD and both hospitalized (rg  =  0.418) and severe COVID‐19 (rg  =  0.314). Furthermore, the MR analysis demonstrated a unidirectional causal effect of genetic predisposition to GERD on COVID‐19 outcomes, including hospitalized COVID‐19 (odds ratio [OR]: 1.33, 95% confidence interval [CI]: 1.27–1.44, p = 9.17e − 12) and severe COVID‐19 (OR: 1.27, 95% CI: 1.18–1.37, p = 1.20e − 05). Additionally, GERD and both COVID‐19 conditions shared one genomic locus with lead‐SNPs rs1011407 and rs1123573, corresponding to the transcription factor BCL11A. Colocalization analysis further demonstrated a significant positive correlation between genome‐wide association study and expression quantitative trait locus (eQTL) abnormalities, including rs1011407 (eQTL_p = 2.35e − 07) and rs1123573 (eQTL_p = 2.74e − 05). Molecular pathway analysis indicated that GERD might promote the progression of COVID‐19 by inducting immune‐activated and inflammation‐related pathways.ConclusionThese findings confirm that genetically determined GERD may increase the susceptibility to hospitalized/severe COVID‐19. The shared genetic loci and the potential molecular pathways offer valuable insights into causal connections between GERD and COVID‐19.
Psychological well‐being of women with uterine infertility before considering uterus transplantation as a treatment option
Authors: Pittman Jana , Gerstl Brigitte , Walch Anna , Lotz Mianna , Deans Rebecca , Morrison Natalie 
Published: November 2024

BackgroundWhile uterus transplantation offers a promising treatment option for women with uterine factor infertility (UFI), the potential for graft failure and lack of organ availability could have subsequent psychological repercussions for women. Exploring baseline psychological well‐being for women with UFI who could become uterine transplant recipients is essential to identify specific psychological challenges to be considered prior to transplantation. UFI can be congenital uterine absence, namely Mayer‐Rokitansky‐Küster‐Hauser syndrome (MRKH), or acquired uterine absence (hysterectomy).ObjectiveTo analyse baseline psychological well‐being among women with UFI.Design and settingA survey including demographic data and two internationally validated psychological questionnaires, Depression, Anxiety and Stress Scale (DASS‐21),13 and Fertility Quality of Life (FertiQoL), was disseminated to women with UFI. Data from these instruments was compared between groups and then to data that uses these tools in the general infertility population.Results/outcomesThe study included 39 women (mean age 29.54 years). Higher scores for moderate symptoms of depression, anxiety, and stress were reported for the entire UFI cohort. More women with congenital UFI showed ‘severe’ symptoms for depression/anxiety, compared to women with acquired UFI. Women with acquired UFI showed poorer FertiQoL scores compared to both women with congenital UFI and to the general infertility population scores in previously published data.ConclusionClinicians should consider accessing increased psychological support for women with UFI when discussing fertility options including uterine transplant, and they may need to tailor this support depending on whether the patient has congenital or acquired UFI.
Embodied Thermal Insecurity and Counter‐Hegemonic Heat Mapping
Authors: Tschakert Petra , Karthikeyan Krishna 
Published: November 2024

AbstractLived experiences with urban heat are often rendered invisible, shrouded under the cloak of neoliberal resilience discourse and sanitised heat mapping and messaging. This is particularly tragic for disadvantaged at‐risk populations in white, settler colonial contexts where heat tolerance is worn as a badge of honour. Here, drawing upon semi‐structured interviews and focus group discussions in Perth, Western Australia, and with feminist emphasis on the embodied, the everyday, and bodily difference, we illustrate how corporeal thermal insecurities among rough sleepers, people with disabilities, and across intersectional disenfranchisement immobilise and dehumanise. By employing the logic of structures of violence to thermal suffering, we reveal how housing and energy precarity exacerbate entrenched racism and normalised discrimination. Our aim is to expand current debates on heat action plans (HAPs) and cool refuges by examining what “better weathering” could mean in practice, via the materialities of heated urban bodies (HUBs) and to demonstrate how such counter‐hegemonic heat mapping serves as a corporeal critique of the neoliberal resilient subject.
Subjective well‐being of children with special educational needs: Longitudinal predictors using machine learning
Authors: Tan Amanda Swee‐Ching , Ali Farhan , Poon Kenneth K. 
Published: November 2024

AbstractChildren with special educational needs (SEN) are a diverse group facing numerous challenges related to well‐being and mental health. Understanding the predictors of well‐being in this population requires the incorporation of diverse factors along with approaches that can uncover complexity in how these factors work together to influence well‐being. We longitudinally predicted subjective well‐being in a group of children with diverse special educational needs (N = 499; M = 8.4 ± 0.9 years). Thirty‐two variables ‐ ranging from demographics to various categories of life experiences ‐ were used as predictors for both nonlinear machine learning and classical linear classifiers. Nonlinear machine learning classifiers exhibited much performance in predicting subjective well‐being (F1 score = 0.72 to 0.84) compared to traditional linear classifiers. Overall, across all children, prior subjective well‐being, numeracy, literacy skills, and interpersonal dimensions played important roles. However, clustering further identified four distinct clusters sharing important predictors: a ‘socializer’ cluster dominated by interpersonal functioning predictors, an ‘analyzer’ cluster emphasizing academic skills predictors, and two clusters with more diverse sets of important predictors. Our research highlights the multiple pathways toward well‐being in children with SEN as uncovered by machine learning, with implications for understanding and supporting their well‐being.
Real‐Time Assessment of H. pylori Infection to Guide Molecular Antibiotic Resistance Testing: A Combined Endoscopy‐Gastric Juice Analysis Approach
Authors: Vasapolli Riccardo , Ailloud Florent , Spießberger Beate , Malfertheiner Peter , Suerbaum Sebastian , Schulz Christian 
Published: November 2024

ABSTRACTBackgroundHelicobacter pylori antibiotic resistance is the most relevant cause of treatment failure. Antibiotic susceptibility testing (AST) allows for selecting the appropriate eradication regimen.AimsTo assess the diagnostic accuracy of gastric aspirate‐based genotypic AST (G‐AST) for detecting clarithromycin and levofloxacin resistance compared with conventional phenotypic AST (P‐AST).MethodsWe recruited 461 consecutive patients scheduled for endoscopy. H. pylori was detected intraprocedurally using Endofaster, a novel method combining endoscopy with gastric juice analysis. For H. pylori‐positive patients, we collected gastric aspirates and biopsies. G‐AST was performed using DNA extracted from aspirates, with Sanger sequencing to detect polymorphisms in the 23S rRNA and gyrA genes associated, respectively, with resistance to macrolides and fluoroquinolones. P‐AST was performed on H. pylori isolated from biopsies using ETEST.ResultsOne hundred and seventy‐eight (40.4%) patients tested positive for H. pylori during endoscopy. Paired gastric biopsies and aspirates were available from 152 H. pylori‐positive patients. By P‐AST, resistance rates were 15.1% (23/152) for clarithromycin and 18.4% (28/152) for levofloxacin. G‐AST showed a high level of agreement with P‐AST for clarithromycin (kappa 0.86) and levofloxacin (kappa 0.81) resistance and diagnostic accuracy of 97% and 95%, respectively.ConclusionsThe novel method combining endoscopy with immediate intraprocedural gastric juice analysis for the detection of H. pylori, followed by AST in case of a positive finding, is valid and practical for tailoring eradication regimens for H. pylori infection. Genotypic AST from gastric aspirates is highly accurate for detecting clarithromycin and levofloxacin resistances.