bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preparing to “Live a Life of Possibilities”: Experiences of Healthcare Providers Readying Autistic Adolescents and Their Families for Independent Driving
Authors: Myers Rachel K. , Labows Christina , McDonald Catherine C. , Yerys Benjamin E. , Sartin Emma B. , Carey Meghan E. , Mollen Cynthia J. , Curry Allison E. 
Published: April 2024

AbstractAutistic adolescents and their families may experience barriers to transportation, including independent driving, which is critical to supporting quality of life and engagement in social, educational, and employment opportunities. Healthcare providers may feel unprepared to provide guidance to autistic adolescents, although they are among the professionals families turn to for guidance. This study describes providers’ experiences supporting autistic adolescents and families in the decision to pursue licensure and identifies barriers experienced in providing support. We conducted interviews with 15 healthcare providers focused on how they support autistic adolescents and their families in navigating topics related to independence, driving, and transportation. Key themes identified included: importance of understanding adolescents’ perspectives and motivations, approaches to readying caregivers for children to pursue driving, and role of providers in fostering agreement between adolescents and caregivers. Results reflect healthcare providers as intermediaries between autistic adolescents and caregivers making the decision to pursue licensure and bring families to consensus. Our findings emphasize the importance of healthcare providers, in collaboration with community-based providers, in supporting autistic adolescents and their families considering licensure. Improving conversations between providers and families provides opportunity to better support quality of life among autistic adolescents and their caregivers navigating the transition to independence.
Developing an Ontology Representing Fall Risk Management Domain Knowledge
Authors: Altuhaifa Fatimah , Al Tuhaifa Dalal 
Published: April 2024

Abstract
Ontologies serve as comprehensive frameworks for organizing domain-specific knowledge, offering significant benefits for managing clinical data. This study presents the development of the Fall Risk Management Ontology (FRMO), designed to enhance clinical text mining, facilitate integration and interoperability between disparate data sources, and streamline clinical data analysis. By representing major entities within the fall risk management domain, the FRMO supports the unification of clinical language and decision-making processes, ultimately contributing to the prevention of falls among older adults. We used Ontology Web Language (OWL) to build the FRMO in Protégé. Of the seven steps of the Stanford approach, six steps were utilized in the development of the FRMO: (1) defining the domain and scope of the ontology, (2) reusing existing ontologies when possible, (3) enumerating ontology terms, (4) specifying the classes and their hierarchy, (5) defining the properties of the classes, and (6) defining the facets of the properties. We evaluated the FRMO using four main criteria: consistency, completeness, accuracy, and clarity. The developed ontology comprises 890 classes arranged in a hierarchical structure, including six top-level classes with a total of 43 object properties and 28 data properties. FRMO is the first comprehensively described semantic ontology for fall risk management. Healthcare providers can use the ontology as the basis of clinical decision technology for managing falls among older adults.
Preference for Competitive Employment in People with Mental Disorders: A Systematic Review and Meta-analysis of Proportions
Authors: Adamus Christine , Richter Dirk , Sutor Kim , Zürcher Simeon Joel , Mötteli Sonja 
Published: April 2024

Abstract
Purpose
The inclusion of people with mental disorders (MD) into competitive employment has become an important political and therapeutic goal. The present paper investigates meta-analytically to which extent people with MD who were unemployed or on sick leave due to MD prefer to work in a competitive job environment.

Methods
For this systematic review and meta-analysis of proportions, we searched Medline, PsycInfo, Cinahl, Google Scholar, and reference lists for peer-reviewed publications from 1990 to Dec 2023, which provided data on the job preferences of people with MD. Two authors independently conducted full-text screening and quality assessments. Pooled proportions of job preferences were calculated with a random-effects meta-analysis of single proportions, and subgroup analyses were performed to examine characteristics associated with job preferences.

Results
We included 30 studies with a total of 11,029 participants in the meta-analysis. The overall proportion of participants who expressed a preference for competitive employment was 0.61 (95%-CI: 0.53–0.68; I2 = 99%). The subgroup analyses showed different preference proportions between world regions where the studies were conducted (p < 0.01), publication years (p = 0.03), and support settings (p = 0.03).

Conclusion
Most people with MD want to work competitively. More efforts should be given to preventive approaches such as support for job retention. Interventions should be initiated at the beginning of the psychiatric treatment when the motivation to work is still high, and barriers are lower.

Trail Registration
The protocol is published in the Open Science registry at https://osf.io/7dj9r
Assessing the Effect of First-time Police Contact on Internalizing Problems Among Youth in Zurich, Switzerland: A Quasi-experimental Analysis
Authors: Nivette Amy , Bechtiger Laura , Ribeaud Denis , Shanahan Lilly , Eisner Manuel 
Published: April 2024

AbstractGrowing evidence suggests that experiences with police are associated with a range of negative mental health problems among youth. This study examined the impact of negative police contact on changes in adolescent internalizing problems, measured by anxiety and depression. Six waves of data from a longitudinal study in Zurich, Switzerland were used in order to assess the direct relations between first reported police contact in the years prior to the survey moment and internalizing problems at the time of the survey and follow-up waves. The sample consists of a cohort of youth (max n = 1353, 49.4% females) spanning ages 11 to 24 (mean age and SD at each wave = 11.32 (0.37), 13.67 (0.36), 15.44 (0.36), 17.45 (0.37), 20.58 (0.38), 24.46 (0.38)). Specifically, difference-in-differences techniques for multiple time periods were employed to assess the average treatment effects for the treated population (first contact with police) compared to those who were never treated (never had contact). Across all models, police contact did not lead to an increase in internalizing problems. These results diverge from previous studies mostly conducted in the United States, and possible explanations including differences in historical contexts of policing, juvenile justice, health care, and dosage of intrusive contacts are discussed.
Lumped parameters models for the stability analysis of rotors supported on gas bearings
Authors: Colombo F. , Lentini L. , Raparelli T. , Trivella A. 
Published: April 2024

AbstractIn this paper different lumped parameters models are presented for the stability analysis of rotors supported on gas bearings. The analysis is carried out taking into account the damping and stiffness coefficients of journal bearings, calculated with the perturbation method. Lumped parameters models of different complexity are discussed for the description of the main rigid modes of the spindle. In case of symmetric systems, it is shown that the complexity of the model can be reduced by halving the number of the degrees of freedom. The analogy with the single mass approach is demonstrated. The considerations discussed in the paper are preliminary for the stability analysis of more complex systems, such as the ones with non-fixed bushes.
The Man Behind the Curtain: Appropriating Fairness in AI
Authors: Korecki Marcin , Köstner Guillaume , Martinelli Emanuele , Carissimo Cesare 
Published: April 2024

AbstractOur goal in this paper is to establish a set of criteria for understanding the meaning and sources of attributing (un)fairness to AI algorithms. To do so, we first establish that (un)fairness, like other normative notions, can be understood in a proper primary sense and in secondary senses derived by analogy. We argue that AI algorithms cannot be said to be (un)fair in the proper sense due to a set of criteria related to normativity and agency. However, we demonstrate how and why AI algorithms can be qualified as (un)fair by analogy and explore the sources of this (un)fairness and the associated problems of responsibility assignment. We conclude that more user-driven AI approaches could alleviate some of these difficulties.
A framework for assessing social structure in community governance of sustainable urban drainage systems: insights from a literature review
Authors: Muwafu Simon Peter , Rölfer Lena , Scheffran Jürgen , Costa María Máñez 
Published: April 2024

AbstractThe utilization of Sustainable Urban Drainage Systems (SUDS) as Nature-based Solutions (NBS) holds significant promise for enhancing resilience against climate change-induced flooding and promoting community well-being in urban areas of Sub-Saharan Africa. While existing research predominantly emphasizes technical aspects within the NBS framework, understanding the socio-governance dynamics at the community level is equally imperative, particularly given the decentralized nature of SUDS. This study aims to complement the prevailing technical focus by examining the social dimensions of community governance related to SUDS implementation. Through a literature review, key determinants of social structure influencing successful community governance in SUDS management are identified, and categorized into actors, resources, discourses, and rules of engagement. An innovative assessment framework comprising 65 indicators is proposed to evaluate these determinants, offering a comprehensive tool for scholars and practitioners. By integrating social considerations into SUDS management practices, this research seeks to inform policy formulation and strategies tailored to Sub-Saharan African cities, facilitating equitable and participatory urban stormwater management initiatives crucial for addressing climate change challenges.
Extraction of exact soliton solutions of (2+1)-dimensional Chaffee-Infante equation using two exact integration techniques
Authors: Arshed Saima , Akram Ghazala , Sadaf Maasoomah , Irfan Muhammad , Inc Mustafa 
Published: April 2024

AbstractIn this research paper, (2 + 1)-dimensional Chaffee-Infante equation, with applications in fluid dynamics, nonlinear fiber optics, coastal engineering, ion-acoustic modeling, sound waves, electromagnetic field waves, and plasma physics, is explored and analyzed to calculate is analytic exact solutions utilizing two effective exact methods named as, extended $$(\frac{G'}{G^2})$$

(

G
′

G
2

)

-expansion method and new (F/G)-expansion method. These techniques work wonderfully to produce exact solutions for many nonlinear problems that arise in various disciplines of scientific fields. The proposed methods are employed to extract the soliton solutions of the proposed equation. These exact methods are implemented successfully and provide many soliton solutions. The extracted soliton solutions contain hyperbolic, trigonometric and rational functions. Graphical analysis is provided using 3D surface plots and 2D contour plots in order to comprehend the physical structure of the obtained solutions.
A microbiome survey of contrasting potato terroirs using 16S rRNA long-read sequencing
Authors: Boutsika Anastasia , Xanthopoulou Aliki , Tanou Georgia , Zacharatou Maria –Evangelia , Vernikos Michalis , Nianiou-Obeidat Irini , Ganopoulos Ioannis , Mellidou Ifigeneia 
Published: April 2024

Abstract
Aims
As a consequence of the increasing impact of climate change on crop production and food security worldwide, the need to explore agricultural systems in a sustainable manner is also intensified. The improvement of long-read metagenomics approaches might give valuable information not only on soil microbial communities, but also on their potential effects on plant phenotypes. Soil properties, climate conditions, and agricultural techniques are the main factors shaping microbial communities found in the soil and on the surface of the potatoes, influencing plant health and performance. The objective of this study was to decipher the bacterial communities in contrasting potato terroirs using long-read sequencing of the 16S rRNA gene.

Methods
To do so, 18 soil samples were taken from different potato fields in the island of Naxos (Island Terroir) and Northern Greece (Continental Terroir). Differences in soil properties and climatic conditions were also regarded to explore the possible motif of microbial structure and diversity in each region.

Results
Our results highlighted that contrasting potato terroirs strongly affected microbial community composition and diversity. A richer microbial composition in the island terroir was evident. A wide range of soil bacteria were identified, including Vicinamibacter, Neobacillus, Povalibacter, Microvirga, Thermoanaerobaculum, Arenimonas, and Rubrobacter, with different distribution patterns that resulted in characteristic microbial footprints.

Conclusions
In combination with soil analysis, microbial mapping might be a valuable tool, not only for gaining a deeper knowledge of their impact on potato production, but also for developing biomarkers that would uniquely define and characterize each potato habitat.
Artificial Intelligence for Water Consumption Assessment: State of the Art Review
Authors: Morain Almando , Ilangovan Nivedita , Delhom Christopher , Anandhi Aavudai 
Published: April 2024

AbstractIn recent decades, demand for freshwater resources has increased the risk of severe water stress. With the growing prevalence of artificial intelligence (AI), many researchers have turned to it as an alternative to linear methods to assess water consumption (WC). Using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) framework, this study utilized 229 screened publications identified through database searches and snowball sampling. This study introduces novel aspects of AI's role in water consumption assessment by focusing on innovation, application sectors, sustainability, and machine learning applications. It also categorizes existing models, such as standalone and hybrid, based on input, output variables, and time horizons. Additionally, it classifies learnable parameters and performance indexes while discussing AI models' advantages, disadvantages, and challenges. The study translates this information into a guide for selecting AI models for WC assessment. As no one-size-fits-all AI model exists, this study suggests utilizing hybrid AI models as alternatives. These models offer flexibility regarding efficiency, accuracy, interpretability, adaptability, and data requirements. They can address the limitations of individual models, leverage the strengths of different approaches, and provide a better understanding of the relationships between variables. Several knowledge gaps were identified, resulting in suggestions for future research.
Geophysical methods reveal the soil architecture and subsurface stratigraphic heterogeneities across land-lake interfaces along Lake Erie
Authors: Ehosioke Solomon , Adebayo Moses B. , Bailey Vanessa L. , Peixoto Roberta Bittencourt , Emmanuel Efemena D. , Machado-Silva Fausto , Regier Peter J. , Spanbauer Trisha , Thomas Shan Pushpajom , Ward Nicholas D. , Weintraub Michael N. , Doro Kennedy O. 
Published: April 2024

Abstract
Purpose
The land-lake interface is a unique zone where terrestrial and aquatic ecosystems meet, forming part of the Earth’s most geochemically and biologically active zones. The unique characteristics of this interface are yet to be properly understood due to the inherently high spatiotemporal variability of subsurface properties, which are difficult to capture with the traditional soil sampling methods. Geophysical methods offer non-invasive techniques to capture variabilities in soil properties at a high resolution across various spatiotemporal scales.

Methods
We combined electromagnetic induction (EMI), electrical resistivity tomography (ERT), and ground penetrating radar (GPR) with data from soil cores and in situ sensors to investigate hydrostratigraphic heterogeneities across land-lake interfaces along the western basin of Lake Erie.

Results
EMI revealed high spatial heterogeneities in ECa distribution across the land-lake interfaces, with higher values in the wetland and transition zones compared to the upland zone. Soil ECa maps matched soil maps from a public database with the hydric soil units delineated as high conductivity zones (ECa > 40 mS/m). ERT and GPR showed vertical variation in soil properties with clear stratigraphic boundaries, and correlation of ERT profiles with lithologs from piezometers revealed the stratigraphic units of silt–clay and till sequence down to 3.5 m depth which are consistent with the surficial geology of the study area.

Conclusions
These results validate the use of multiple geophysical methods for extrapolating soil properties and mapping stratigraphic structures at land-lake interfaces, thereby providing the missing information required to improve the earth system model (ESM) of coastal interfaces.
Study on failure characteristics and evaluation index of aquifer shale based on energy evolution
Authors: Qi Xian-yin , Geng Dian-dong , Feng Meng-yao , Xu Ming-zhe 
Published: April 2024

AbstractThe presence of abundant clay components and microporous structure in shale results in its high hydrophilicity, making a water-rich environment inevitable in petroleum exploration projects. Therefore, it is crucial to consider the influence of bedding structure, moisture content, confining pressure, and their combined effects on the geomechanical properties of shale. This article aims to investigate the mechanical properties of deep shale under varying water content conditions, elucidate the failure mode and failure mechanism of shale in actual engineering scenarios, and explores the interplay between stress, structure, moisture content, and other factors on its mechanical properties. The evaluation of wellbore stability and fracture propagation effects is proposed based on laboratory experiments using triaxial stress and strain data, along with the application of energy evolution theory. The experimental procedures encompass an analysis of shale's microscopic components and structure, as well as anisotropic shale triaxial compression tests conducted under different moisture contents and confining pressures. The results demonstrate that shale exhibits dense pores in its microstructure and displays pronounced anisotropic characteristics in its macrostructure. The presence of water within these pores, combined with the in situ stress within the formation, significantly influences the mechanical properties of shale. This anisotropy decreases with increasing moisture content, but the mechanical performance still decreases. Under triaxial compression conditions, the increase in confining pressure to some extent enhances the anisotropy of shale's deformation characteristics, which is related to the failure modes of shale. However, the detrimental effect of moisture content on shale's mechanical properties still persists. In order to quantify the impact of these factors, this study utilizes the elastic modulus as an indicator of the coupling effect. It combines the triaxial strain curve obtained from laboratory tests and proposes an evaluation index for shale mechanical properties based on the energy evolution theory. This index is suitable for assessing wellbore stability (the stability index called SIr) and crack expansion (the brittleness index called BIr). The calculation results reveal that, during the wellbore drilling process, excavating parallel to the direction of shale bedding while maintaining low moisture content and high confining pressure yields a higher SIr value, indicating better wellbore stability. On the other hand, during reservoir fracturing, fracturing perpendicular to the shale bedding direction and maintaining low confining pressure and moisture content result in a smaller BIr value. This approach is more beneficial for the expansion of shale fracture network in engineering.
Association between interstitial lung abnormality and mortality in patients with esophageal cancer
Authors: Hata Akinori , Yanagawa Masahiro , Miyata Tomo , Hiraoka Yu , Shirae Motohiro , Ninomiya Keisuke , Doi Shuhei , Yamagata Kazuki , Yoshida Yuriko , Kikuchi Noriko , Ogawa Ryo , Hatabu Hiroto , Tomiyama Noriyuki 
Published: April 2024

Abstract
Purpose
To investigate the relationship between interstitial lung abnormalities (ILAs) and mortality in patients with esophageal cancer and the cause of mortality.

Materials and methods
This retrospective study investigated patients with esophageal cancer from January 2011 to December 2015. ILAs were visually scored on baseline CT using a 3-point scale (0 = non-ILA, 1 = indeterminate for ILA, and 2 = ILA). ILAs were classified into subcategories of non-subpleural, subpleural non-fibrotic, and subpleural fibrotic. Five-year overall survival (OS) was compared between patients with and without ILAs using the multivariable Cox proportional hazards model. Subgroup analyses were performed based on cancer stage and ILA subcategories. The prevalences of treatment complications and death due to esophageal cancer and pneumonia/respiratory failure were analyzed using Fisher’s exact test.

Results
A total of 478 patients with esophageal cancer (age, 66.8 years ± 8.6 [standard deviation]; 64 women) were evaluated in this study. Among them, 267 patients showed no ILAs, 125 patients were indeterminate for ILAs, and 86 patients showed ILAs. ILAs were a significant factor for shorter OS (hazard ratio [HR] = 1.68, 95% confidence interval [CI] 1.10–2.55, P = 0.016) in the multivariable Cox proportional hazards model adjusting for age, sex, smoking history, clinical stage, and histology. On subgroup analysis using patients with clinical stage IVB, the presence of ILAs was a significant factor (HR = 3.78, 95% CI 1.67–8.54, P = 0.001). Subpleural fibrotic ILAs were significantly associated with shorter OS (HR = 2.22, 95% CI 1.25–3.93, P = 0.006). There was no significant difference in treatment complications. Patients with ILAs showed a higher prevalence of death due to pneumonia/respiratory failure than those without ILAs (non-ILA, 2/95 [2%]; ILA, 5/39 [13%]; P = 0.022). The prevalence of death due to esophageal cancer was similar in patients with and without ILA (non-ILA, 82/95 [86%]; ILA 32/39 [82%]; P = 0.596).

Conclusion
ILAs were significantly associated with shorter survival in patients with esophageal cancer.
Indium(III) complexes: application as organic catalyst, precursor for chalcogenides nanoparticles and starting materials in the industry
Authors: Ajiboye Timothy O. , Ajala Oluwaseun J. , Adeyemi Jerry O. , Dhibar Subhendu 
Published: April 2024

AbstractTrivalent indium ions are not toxic like the common ions, and this implies that there are limited secondary pollution associated with their photoconversion processes. They are therefore a preferred choice for several applications. However, they are not used in their ionic form. Their salts are reacted with various organic ligands to form different trivalent complexes of indium for these applications. Herein, the use of different trivalent complexes as catalysts in organic synthesis are discussed. Their usage as a precursor of indium oxide, indium sulfide, indium tellurides and indium selenides are examined. In addition, their application as organic light-emitting diodes (OLEDs), sensor, photovoltaic and luminous materials are discussed. Finally, gaps and/or areas for future research are highlighted.