bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ostreopsis cf. ovata abundances on different benthic substrata: how to compare them?
Authors: Accoroni Stefano , Neri Francesca , Ubaldi Marika , Romagnoli Tiziana , Totti Cecilia 
Published: November 2023

AbstractIn the framework of benthic harmful algal bloom monitoring, the most common sampling strategy is based on the collection of macroalgae, and the abundance of epiphytic microalgae are mainly expressed as cells g−1 macroalgal fresh weight (fw). However, this methodology has some inherent problems, due to (i) the thallus-specific weights that markedly differ among algal species, (ii) the thallus architecture, and (iii) the production of allelopathic compounds that affects the epiphyte abundances among macroalgae, irrespective of the available colonizable surface. This study proposes a method to compare the abundances of Ostreopsis cf. ovata cells on different substrata, using a conversion factor that converts the abundances expressed as cells g−1 fw (or dry weight) to cells cm−2. Expressing abundances in terms of cells cm−2, the abundances can be compared (i) among different macroalgal species and (ii) between macroalgae and other substrata (such as rocks, pebbles, or shellfish shells). We also propose to normalize abundances when different macroalgae are sampled throughout the bloom period, considering the different epiphyte loads of different macroalgal species regardless of the available surface area.
Direct oral anticoagulants and the risk of adverse clinical outcomes among patients with different body weight categories: a large hospital-based study
Authors: Nwanosike Ezekwesiri Michael , Merchant Hamid A. , Sunter Wendy , Ansari Muhammad Ayub , Conway Barbara R. , Hasan Syed Shahzad 
Published: November 2023

Abstract
Objective
Through predictable pharmacokinetics—including a convenient fixed-dose regimen, direct oral anticoagulants (DOACs) are preferred over previous treatments in anticoagulation for various indications. However, the association between higher body weight and the risk of adverse consequences is not well studied among DOAC users. We aim to explore the association of body weight and adverse clinical outcomes in DOAC users.

Methods
A total of 97,413 anonymised DOAC users in a tertiary care setting were identified following structured queries on the electronic health records (EHRs) to extract the feature-rich anonymised dataset. The prepared dataset was analysed, and the features identified with machine learning (ML) informed the adjustments of covariates in the multivariate regression analysis to examine the association. Kaplan–Meier analysis was performed to evaluate the mortality benefits of DOACs.

Results
Among DOAC users, the odds of adverse clinical outcomes, such as clinically relevant non-major bleeding (CRNMB), ischaemic stroke, all-cause mortality, and prolonged hospital stay, were lower in patients with overweight, obesity, or morbid obesity than in patients with normal body weight. The odds of ischaemic stroke (OR 0.42, 95% CI: 0.36–0.88, p = 0.001) and all-cause mortality (OR 0.87, 95% CI: 0.81–0.95, p = 0.001) were lower in patients with morbid obesity than in patients with normal body weight. In the Kaplan–Meier analysis, apixaban was associated with a significantly lower rate of mortality overall and in obesity and overweight subgroups than other DOACs (p < 0.001). However, rivaroxaban performed better than apixaban in the morbid obesity subgroup (p < 0.001).

Conclusion
This study shows the positive effects of DOAC therapy on clinical outcomes, particularly in patients with high body weight. However, this still needs validation by further studies particularly among patients with morbid obesity.
A case report of hemorrhagic presentation of diffuse neonatal hemangiomatosis (DNH) associated to obstructive hydrocephalus: Medical and neurosurgical considerations
Authors: Pavanello Marco , Piro Liliana , Roggero Arianna , Rossi Andrea , Piatelli Gianluca , Vercellino Nadia 
Published: November 2023

Abstract
Background
Diffuse neonatal hemangiomatosis (DNH) is a rare disorder typically recognized at birth or during the neonatal period. DNH involves three or more organ systems, including the central nervous system (CNS). In these cases, serious complications such as hemorrhages and obstructive hydrocephalus can develop.

Case report
We present a case of DNH with intracranial hypertension and CNS hemorrhagic lesions on the mesencephalic aqueduct, resulting in triventricular hydrocephalus, treated with endoscopic ventriculocisternostomy (ETV) and medical therapy.

Discussion
DNH is a rare condition that can involve the CNS with serious complications. From a review of the literature, we highlighted only two cases of DNH with brain involvement treated surgically. We report the successful outcome of ETV, along with surgical considerations, imaging findings, and the complete resolution of cerebral and skin lesions following medical therapy.

Conclusions
Medical therapy is not standardized and must be individualized. In patients who develop severe neurological symptoms such as obstructive hydrocephalus, surgery may be considered to avoid neurological sequelae.
Magnetic resonance spectroscopy and auditory brain-stem response audiometry as predictors of bilirubin-induced neurologic dysfunction in full-term jaundiced neonates
Authors: Zidan Lamiaa Khaled , Rowisha Mohamed Ahmed , Nassar Mohammed Abd Ellatif , Elshafey Rasha Ahmed , El Mahallawi Trandil Hassan , Elmahdy Heba Saied 
Published: November 2023

AbstractThe purpose of this research was to define the functions of MRS and ABR as predictors of bilirubin-induced neurologic dysfunction (BIND) in full-term neonates who required intervention (phototherapy and/or exchange transfusion). This prospective cohort study was done at the NICU of Tanta University Hospitals over a 2-year duration. Fifty-six full-term neonates with pathological unconjugated hyperbilirubinemia were divided according to MRS and ABR findings into 2 groups: group (1) included 26 cases with mild acute bilirubin encephalopathy (BIND-M score 1–4). Group (2) included 30 cases with neonatal hyperbilirubinemia only. In addition, 20 healthy neonates with similar ages were employed as the controls. When compared to group 2 and the control group, group 1’s peak-area ratios of NAA/Cr and NAA/Cho were found to be significantly reduced (P < 0.05). As compared to group 2 and the control group, group 1’s Lac/Cr ratio was significantly greater (P < 0.05), but the differences were not significant for group 2 when compared to the control group. Waves III and V peak latencies, I–III, and I–V interpeak intervals were significantly prolonged in group 1 in comparison to group 2 and controls (P < 0.05) with no significant difference between group 2 and control group. Conclusion: When the symptoms of ABE are mild and MRI does not show any evident abnormalities, MRS and ABR are helpful in differentiating individuals with ABE from patients with neonatal hyperbilirubinemia. Trial registration: ClinicalTrials.gov, Identifier: NCT06018012.

What is Known:• MRS can be used as a diagnostic and prognostic tool for the differential diagnosis of patients with acute bilirubin encephalopathy, from patients with neonatal hyperbilirubinemia

What is New:• ABR is a useful diagnostic and prognostic tool in the care and management of neonates with significantly raised bilirubin. It can be used as early predictor of acute bilirubin encephalopathy in the earliest stage of auditory damage caused by bilirubin.
Lagrange multiplier imposition of non-conforming essential boundary conditions in implicit material point method
Authors: Singer Veronika , Teschemacher Tobias , Larese Antonia , Wüchner Roland , Bletzinger Kai-Uwe 
Published: November 2023

AbstractThe Material Point Method (MPM) is an established and powerful numerical method particularly useful for simulating large-scale, rapid soil deformations. Therefore, it is often used for the numerical investigation of mass movement hazards such as landslides, debris flows, or avalanches. It combines the benefits of both mesh-free and mesh-based continuum-based discretization techniques by discretizing the physical domain with Lagrangian moving particles carrying the history-dependent variables while the governing equations are solved at the Eulerian background grid, which brings many similarities with commonly used finite element methods. However, due to this hybrid nature, the material boundaries do not usually coincide with the nodes of the computational grid, which complicates the imposition of boundary conditions. Furthermore, the position of the boundary may change at each time step and, moreover, may be defined at arbitrary locations within the computational grid that do not necessarily coincide with the body contour, leading to different interactions between the material and the boundary. To cope with these challenges, this paper presents a novel element-wise formulation to weakly impose non-conforming Dirichlet conditions using Lagrange multipliers. The proposed formulation introduces a constant Lagrange multiplier approximation within the constrained elements in combination with a methodology to eliminate superfluous constraints. Therefore, in combination with simple element-wise interpolation functions classically utilized in MPM (and FEM) to approximate the unknown field, a suitable Lagrange multiplier discretization is obtained. In this way, we obtain a robust, efficient, and user-friendly boundary imposition method for immersed methods specified herein for implicit MPM. Furthermore, the extension to frictionless slip conditions is derived. The proposed methodologies are assessed by comparing the numerical results with both analytical and experimental data to demonstrate their accuracy and wide range of applications.
Multi-criteria decision analysis: Hesitant fuzzy methodology towards expert systems for analyzing financial markets dynamics
Authors: Ferrara Massimiliano , Ciano Tiziana , Nava Consuelo Rubina , Cananà Lucianna 
Published: November 2023

AbstractDecision support systems are a mixture of different methods and tools combined by machine learning approach. This study uses the most important machine learning techniques (logistic regression, artificial neural networks, and support vector machines) and the expert-based method (fuzzy analytic hierarchy process and hesitant fuzzy numbers) to study some financial markets dynamics. The objective of the study is to examine the main approaches developed by theory and operational practice for the purposes of conceptual representation, management and quality assessment. Different tools are applied to support decisions makers, such as AHPSort II to model the hierarchical structure, FAHP to determine weights in the construction of the matrix of the pairwise comparison and hesitant fuzzy sets (HFS) to better represent the preferences of the decisions makers.
Hangeshashinto for prevention of oral mucositis in patients undergoing hematopoietic stem cell transplantation: a randomized phase II study
Authors: Yoshimatsu Masako , Kawashita Yumiko , Soutome Sakiko , Murata Maho , Sawayama Yasushi , Kurogi Tadafumi , Nakao Noriko , Miyazaki Yasushi , Umeda Masahiro , Ukai Takashi 
Published: November 2023

Abstract
Purpose
Oral mucositis (OM) is a side effect associated with cancer treatment. Hangeshashinto (HST), a Kampo medicine, was originally prescribed to treat diarrhea, gastritis, and stomatitis. Several reports have described the effects of HST for OM induced by chemotherapy in patients with gastric or colorectal cancer. In this study, the effects of HST for prevention of OM were investigated in patients undergoing hematopoietic stem cell transplantation (HSCT).

Methods
Thirty patients scheduled to receive allogeneic grafts were enrolled from July 2020 to December 2021. They were randomly assigned to two groups and instructed to wash their mouth using HST dissolved in saline solution or using only saline solution three times a day. The observation period was from the initiation date of the conditioning regimen to the date of engraftment, and the end point was the incidence of OM.

Results
Eighteen patients developed OM, the most severe of which was Grade (G)3. There was no significant difference in the incidence of OM between the HST group and the control group. However, a negative correlation tended to be observed between the duration using HST use and the duration of OM (G2–3: P = 0.027, G3: P = 0.047).

Conclusions
The present study demonstrated that HST use did not clearly inhibit onset of OM but showed a tendency to inhibit OM exacerbation. However, further studies are necessary to fully understand the effects of HST on OM in patients undergoing HSCT.

Trial registration
This study was registered in the Japan Registry of Clinical Trials on 7 May 2020 (jRCTs071200012).
Impact of topography and land cover on air temperature space-time variability in an urban environment with contrasted topography (Dijon, France, 2014–2021)
Authors: Crétat Julien , Richard Yves , Pohl Benjamin , Emery Justin , Dudek Julita , Roy Damien , Pergaud Julien , Rega Mario , Poupelin Mélissa , Joly Daniel , Thévenin Thomas , Marquès Eva , Masson Valéry 
Published: November 2023

AbstractThe influence of topography and land cover on air temperature space-time variability is examined in an urban environment with contrasted topography through simple and multiple linear regression (SLR and MLR) models, ran for each hour of the period 2014–2021, to explain spatial patterns of air temperature measured by a dense network. The SLR models reveal a complementary influence of topography and land cover, with the largest influence during daytime and nighttime, respectively. The MLR significantly improves upon the SLR models despite persistent intensity errors at night and spatial errors in the early morning. Topography influences air temperatures all year round, with temperature decreasing with height during the day and frequent thermal inversions at night (up to 30% of the time). Impervious surfaces are more influential in summer and early fall, especially during the late afternoon for the fraction covered by buildings and during the early night for the distance from the city centre. They contribute to increase air temperature close to the city centre and where the fraction covered by buildings is large. By contrast, vegetation contributes to cool air temperature during the night, especially in spring and early summer for field crops, summer and early fall for forests, and late fall and winter for low vegetation. Our framework proves to be a low-cost and efficient way to assess how strongly and how recurrently the static surface conditions influence air temperature along the annual and diurnal cycles. It is easily transposable to other areas and study fields.
Determining the impact of economic indicators on water, energy and food nexus for sustainable resource security
Authors: David Love Opeyemi , Adepoju Omoseni , Nwulu Nnamdi , Aigbavboa Clinton 
Published: November 2023

AbstractWater, energy, and food are economic resources whose security and sustainability affect human livelihood. This paper is dedicated to exploring the influence of economic indicators on the security and sustainability of these resources within the water–energy–food (WEF) nexus. The research employed a quantitative approach, gathering data through a structured questionnaire from 282 WEF management professionals in South Africa. The collected data were subjected to statistical analyses, including mean score ranking, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and structural equation modeling (SEM) using EQS and SPSS software. The results of this study highlight the significant impact of economic indicators on the sustainable security of WEF resources. The mean ranking revealed that there is a need to understand people’s economic power for resource sustainability. The CFA and SEM analyses identify four key economic indicators that influence resource security: WEF resource pricing mechanisms, employment rates in the WEF sectors, WEF resource importation, and WEF resource exportation. In conclusion, managing economic indicators within the WEF nexus calls for strategic investment based on comparative advantage. The study provides valuable policy recommendations to support this approach.
Graphical Abstract
On a minimizing movement scheme for mean curvature flow with prescribed contact angle in a curved domain and its computation
Authors: Eto Tokuhiro , Giga Yoshikazu 
Published: November 2023

AbstractWe introduce a capillary Chambolle-type scheme for mean curvature flow with prescribed contact angle. Our scheme includes a capillary functional instead of just the total variation. We show that the scheme is well-defined and has consistency with the energy minimizing scheme of Almgren–Taylor–Wang type. Moreover, for a planar motion in a strip, we give several examples of numerical computation of this scheme based on the split Bregman method instead of a duality method.
Discussion: Development of a Single-Point Method to Determine Soil Plastic Limit Using Fall-Cone Data [Geotech Geol Eng 41:4473–4485, 2023]
Authors: O’Kelly Brendan C. , Soltani Amin 
Published: November 2023

AbstractThis discussion article presents a critical appraisal of three empirical correlations developed via multiple regression analysis and presented in the Kayabali et al. [Geotech Geol Eng 41:4473–4485, 2023. https://doi.org/10.1007/s10706-023-02527-0] (the Authors’) investigation for the determination of the soil consistency limits. Specifically, based solely on British Standard (BS) fall-cone (FC) test data, the Authors purport that the correlations given by Equations 2 and 3 of their paper can be used to predict the ASTM rolling-plate plastic limit (i.e., PLRP), while their Equation 4 can be used to predict the BS FC liquid limit (i.e., LLFC). The Authors demonstrated that these correlations gave good predictions of the measured LLFC and PLRP water contents (i.e., wL(FC) and wP(RP), respectively) for 87 fine-grained soils they sourced from different parts of Central Turkey. Employing newly compiled large and diverse consistency limits databases assembled from the published research literature, this discussion article confirms that the Authors’ Equations 2 and 3 generally produce poor wP(RP) predictions for the fine-grained soils comprising these databases, invariably overestimating (often seriously) their measured plastic limit values. Hence, the Discussers recommend that the Authors’ Equations 2 and 3 (being generally unreliable beyond the investigated Turkish soils) should not be used in geotechnical engineering practice. While the Authors’ single-point LLFC method given by their Equation 4 broadly appears as a good wL(FC) predictor for the newly compiled database soils, it is noted that there already exist well-established and standardised single-point LLFC methods.
Investigating Relevant Data in Automotive Procurement Departments: External Shocks as Transparency Creator for Data Deficits in Decision-Making
Authors: Klee Sven , Janson Andreas 
Published: November 2023

AbstractUncertainty becomes the new normal for organizations worldwide. Many organizations are dependent on complex global supply chains. COVID-19, but also environmental disasters or the war in Ukraine, demonstrate the volatility of supply chains. Procurement departments are the central interface between internal and external stakeholders and must manage the supply chain stability what requires fast and accurate decision-making. External shocks and sudden disruptions of central supply chains illustrated that data analytics could not prevent disruptions, although sound research on competitive advantages and numerous investments should have enabled organizations to data-driven decision-making. Rather, it became transparent, that there are numerous data deficits in organizations. We did an interview-based study with 23 procurement and supply chain experts about relevant data sets and the status of its usability. We contribute to theory and practice by uncovering relevant aspects of data and provide theoretical propositions on how decision-making can be improved in automotive procurement departments.
Identifying Longer-Term Health Events and Outcomes and Health Service Use of Low Birthweight CALD Infants in Australia
Authors: Karger Shae , Ndayisaba Emmanuel U. , Enticott Joanne , Callander Emily J. 
Published: November 2023

Abstract
Introduction
Approximately one-third of all births in Australia each year are by culturally and linguistically diverse (CALD) women. CALD women are at an increased risk of adverse pregnancy and birth outcomes including prematurity and low birthweight. Infants born weighing less than 2500 g are susceptible to increased risk of ill health and morbidities such as cognitive defects including cerebral palsy, and neuro-motor functioning.

Methods
An existing linked administrative dataset, Maternity 1000 was utilized for this study which has identified all children born in Queensland (QLD), Australia, between 1st July 2012 to 30th June 2018 from the QLD Perinatal Data Collection. This has then been linked to the QLD Hospital Admitted Patient Data Collection, QLD Hospital Non-Admitted Patient Data Collection, QLD Emergency Department Data Collection, and Medicare Benefits Schedule and Pharmaceutical Benefits Scheme Claims Records between 1 and 2012 to 30th June 2019.

Results
Culturally and linguistically diverse infants born with low birthweight had higher mean and standard deviation of all health events and outcomes; potentially preventable hospitalisations, hospital re-admissions, ED presentations without admissions, and development of chronic diseases compared to non-CALD infants born with low birthweight.

Discussion
Results from this study highlight the disparities in health service use and health events and outcomes associated with low birthweight infants, between both CALD and Australian born women. This study has responded to the knowledge gap of low birthweight on the Australian economy by identifying that there are significant inequalities in access to health services for CALD women in Australia, as well as increased health events and poor birth outcomes for these infants when compared to those of mothers born in Australia.
What counts as investment? Productive and unproductive expenditures
Authors: Block Fred 
Published: November 2023

AbstractThere have been significant changes in what economists include in the category of investment over the last six decades. The US government agency that compiles national income date, the Bureau of Economic Analysis, has tried to keep up with these changes, but it has not succeeded. The resulting tension between economic theory and official data can be overcome by adopting a different theoretical lens. Work on social reproduction and social investment suggests a more coherent definition of investment than that offered by mainstream economists. The paper then contrasts the measurement of investment in the government data with a calculation of investment derived from this new approach. The results show that business investment is dwarfed by the combined investment made by government and households. This finding suggests that business investment is not the key engine that powers the economy. This has significant implications for economic and social policies.