bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessment of groundwater suitability for drinking and irrigation purposes with probable health threats in a semiarid river basin of South India
Authors: Rajan Meera , Karunanidhi D. , Gurugnanam B. , Subramani T. 
Published: February 2025

AbstractIn the semiarid river basin of south India, the present study focuses on the appropriateness of water for drinking and irrigation as well as the risks to human health posed by pollutants. A total of 68 groundwater samples were evaluated for irrigation and consumption purposes. With a high electrical conductivity peaking at 3430 μS/cm and an alkaline composition, the groundwater has a high salinity and poor water quality. Durov's figure displays a trend along the dissolution or mixing line and identifies the geochemical facies of groundwater samples. According to water quality indexes, the majority of samples are categorized as unfit for human consumption (26.47%), extremely bad (36.76%), and poor (26.47%). According to elemental concentrations, the data are grouped into three clusters using hierarchical cluster analysis. According to the geographical distribution, nitrate levels are safe over about 320.25 km2 and dangerous over about 121.10 km2, whereas fluoride levels are safe over about 293.92 km2 and dangerous over about 147.43 km2. About 50.65 km2, 14.70% of the samples, fell into the no restriction category for irrigation, indicating acceptable standards. Low sodium levels in soils are indicated by parameters like SAR, %Na, PI, RSC, MR, and KR; SAR values fall into the C2S1, C3S1, and C4S1 categories. According to Doneen's diagram, 70.5% of samples had a PI >75, indicating suitability; the Wilcox diagram classified 22.05% of samples as excellent and 69.11% as good to permissible for irrigation. According to human health risk assessment, 75% of babies, 63% of children, 75% of teens, and 54% of adults have THI values >1 for fluoride. About 45% of newborns, 42% of kids, 45% of teenagers, and 29% of adults are at risk for nitrate. Infants, kids, and teenagers are at the danger. In order to safeguard human health against fluoride and nitrate, the study emphasizes the necessity of efficiently managing groundwater resources, lowering agricultural pollution, and assuring clean drinking water.Practitioner Points
In the area, 79.25 km2 has good drinking water quality based on DWQI.
Based on IWQI, 70.33 km2 area is recognized as suitable for agricultural practices.
Geogenic and anthropogenic activities contribute to fluoride and nitrate pollution in water.
Based on THI, infants and children are more prone to fluoride and nitrate contamination.
Development of a hydrological model for vegetated swales under different rainfall and swale properties
Authors: Saraçoğlu Kebir Emre , Kazezyılmaz‐Alhan Cevza Melek 
Published: February 2025

AbstractGlobal warming and climate change affect the number and magnitude of flash floods dramatically, which necessitate effective and innovative solutions. Low Impact Development (LID) has gained importance recently in decreasing the negative impacts of floods in urban areas. LID such as swale, bioretention, infiltration trench, and rain garden emerge as an alternative or complementary solution to the traditional infrastructure stormwater drainage systems. Vegetated swales are one of the most common types of LID used for stormwater runoff control. Although existing software programs have recently integrated modules for LID into their modeling and design, they need improvement for accurate simulations of the hydrological behavior of vegetated swales. Therefore, in this study, a mathematical model was developed to simulate vegetated swale hydrology. The model calculates the overland flow over the watershed area, the overflow over the swale surface, and the drainage flow at the bottom of the swale. A large‐scale experimental setup called Rainfall–Watershed–Swale (RWS) was employed in developing the mathematical model, and data obtained from the RWS was used to calibrate the model. Results show that the developed hydrological model accurately simulates the hydrological behavior of swales under different rainfall events and swale properties.Practitioner Points
A mathematical model was developed to simulate vegetated swale hydrology.
Experimental data from the rainfall–watershed–swale system was employed for model development and calibration.
The mathematical model effectively calculates the overflow and drainage flow of a vegetated swale.
The model provides a practical tool for the design of vegetated swales.
Introduction
Authors: Lenz Taguchi Hillevi , Bodén Linnea 
Published: February 2025

Abstract
The introduction argues for multiple forms of knowledge in inquiry concerning children’s development, learning, and lives. With an overarching goal of arguing for relevant forms of inquiry for the benefit of children, whether the research is done on, to, with, and/or by children, three aims are presented: (1) to discuss the challenges and possibilities of inter- and transdisciplinary collaborations while (2) attending to the complex historicity of the academy and its different disciplinary divides, theories, and lexica so as to (3) argue for the importance of understanding phenomena, such as the child, childhood, and education, as multiple, and natureculture coconstituted. The introduction further highlights the context of the book, a large-scale interdisciplinary intervention study in Swedish preschooling.
The Emergence of Postdevelopmentalism and a Coconstitutive View of Development
Authors: Lenz Taguchi Hillevi , Bodén Linnea 
Published: February 2025

Abstract
The focus in this chapter is the emergence of a postdevelopmentalist approach in the field of child, childhood, and early education studies. It discusses the influence on postdevelopmentalism from critical economics. The discussion draws upon the postdevelopmental critique of child development theory and research and presents a case study of an unhappy marriage between psychology and pedagogy during the twentieth century in Sweden, ending in a definitive divorce in the 1980s. The chapter moves on to present more elaborated meta-theoretical thinking about development in the developmental sciences, in terms of a processual natureculture coconstitutive dynamism. In the chapter’s conclusion, we argue for the possibilities of a more constructive relationship between the developmental sciences and other forms of inquiry, including those relying on a postdevelopmentalist critical approach.
A Critical Review on the Citizen Participatory Design Group (CPDG, Kukmintichaintan) in South Korea: Impacts and Limitations
Authors: Koo Yoori 
Published: February 2025

Abstract
In South Korea, service design is spreading in solving social problems and establishing citizen-led policies as an effective means for engaging the public (the consumers) in a policy-making process. This chapter reflects on the ways in which service design is being used by government in South Korea through “Citizen Participatory Design Group (CPDG)” project promoted by the Ministry of the Interior and Safety (MOIS) in collaboration with the Korea Institute of Design Promotion (KIPD) since 2014. The purpose of this study is to examine the use of service design in the public service sector, focusing on projects under the CPDG. This study analyzes the maturity of service design for the public policy and service sectors using a time series analysis on CPDG cases. The analysis revealed the current status of CPDG’s application of service design thinking, method/tools, and their derived outcomes according to themes of user-centeredness, co-creation, holistic view, and solution materialization. Furthermore, this study suggests the value and challenges of the CPDG as a human-centered and participatory policy establishment model based on service design.
Service Design for Innovating Hospitality Business in Japan
Authors: Sato Chihiro 
Published: February 2025

Abstract
This research elaborates the challenges of Japanese traditional inns known as ryokan to shift from traditional hospitality practices, where the author worked closely for several years with Ibusuki Hakusuikan, a luxurious ryokan located in southern Japan. The research aimed to co-create service together with various stakeholders of the ryokan and the entire service ecosystem of the region located from a macro lense. This article articulates a service design integrating last-mile mobility for both guests and the employees of the ryokan and contributes in a beneficial way to each actor in the landscape, not just towards themselves but also in a larger scope for further business growth in the hospitality sector. Reflecting on qualitative data such as ethnographies, diaries, interviews, and user study analysis, it investigates how the service design journey went, and concludes by giving practical recommendations as design principles for academics and practitioners who plan to co-create value in similar projects dealing with shifts from traditional customs.
Kutane Leishmaniose fehlgedeutet als epithelialer Hautkrebs
Authors: Gerdes Ana-Lee , Kreuter Alexander , Hillen Uwe , Schaller Jörg , Oellig Frank , Hyun Julia , Müller Valentina Laura 
Published: February 2025

Zusammenfassung
Die durch Sandmücken der Gattung Phlebotomus übertragene kutane Leishmaniose gehört zu den bedeutendsten Reisedermatosen in Deutschland. In den vergangenen Jahren konnte eine vermehrte Zunahme der Erkrankung bei Reiserückkehrern aus endemischen Gebieten, zu denen unter anderem die Mittelmeerregion mit Spanien und Italien zählt, beobachtet werden. In diesen Regionen ist Leishmania infantum des Leishmania-donovani-Komplexes der am häufigsten nachweisbare Erreger. Wir berichten von 2 durch Leishmania infantum verursachten Fällen einer kutanen Leishmaniose mit solitären bzw. multilokulären Läsionen, die initial als aktinische Keratosen bzw. Plattenepithelkarzinome fehldiagnostiziert wurden.
Interlaminar bonding assessment in vertical-oriented filament material extrusion bending specimens
Authors: Kechagias John D. , Fountas Nikolaos A. , Papantoniou Ioannis , Vaxevanidis Nikolaos M. 
Published: February 2025

Abstract
Fused filament fabrication (FFF) is the leading 3D printing material extrusion process renowned for its versatility, affordability and easy production of complex components. Despite its advantages, the bonding quality between layers depends heavily on processing parameters and filament material properties. Using an orthogonal experimental design, this study investigates the effects of three nozzle-dependent variables—flow rate, temperature and speed. Poly(lactic) acid (PLA) specimens, built vertically, were evaluated via 3-point bending tests to assess flexural strength and surface roughness. The results showed that speed had an insignificant effect, while optimal performance was achieved at a 100% flow rate and 227 °C nozzle temperature across speeds of 50–70 mm/s, yielding ~ 67 MPa flexural strength and ~ 13-μm surface roughness. A reduced second-order regression model effectively captured these relationships. By focusing on bonding-related parameters, this work advances the understanding of FFF process optimization for enhanced component properties.
Effects of public expenditure for agriculture on food security in Africa
Authors: Marson Marta 
Published: February 2025

Abstract
The commitments of Malabo provide for African countries to devote at least ten percent of their public expenditure to agriculture, with the aim of ending hunger by 2025, in line with the Agenda 2063. While evidence on welfare effects of public expenditure for agriculture is huge, this particular indicator, i.e., the percentage of public expenditure devoted to agriculture, was only recently considered by empirical literature. Based on panel data from African countries between 2002 and 2019 and IV approach to address reverse causality, the study finds significant effect of the Malabo indicator on food security, particularly when allocation of budget to agriculture is coupled with good governance. Through in-sample estimates, the study also finds that the target of ten percent is reasonable, because it roughly corresponds to zero hunger. Finally, an analysis of the transmission mechanisms between public expenditure for agriculture and food security is performed and it confirms the role of growth and agricultural intensification in this relationship but questions its centrality.
Pre-analytic assessment of dried blood and dried plasma spots: integration in mass spectrometry–based metabolomics and lipidomics workflow
Authors: Bossi Eleonora , Serrao Simone , Reveglia Pierluigi , Ferrara Antonietta , Nobile Marta , Limo Elena , Corso Gaetano , Paglia Giuseppe 
Published: February 2025

Abstract
Microsampling, especially dried blood spots (DBS), emerged in recent years as a viable alternative to conventional blood collection since it is rapid, simple, minimally invasive, and has user-friendly characteristics. Moreover, DBS are able to avoid analyte degradation thanks to their great stability. Due to their versatility, clinical applications with DBS have increased, including mass spectrometry–based metabolomics and lipidomics studies. In this work, we evaluated and optimized extraction protocols testing five different extraction solutions to perform metabolomics and lipidomics studies on the same spot considering three commercially available microsampling devices, Capitainer, Whatman, and Telimmune. Parallelly, we also evaluated the short-term stability of the three devices at room temperature for up to 5 days. Our results showed that pure methanol was the best compromise to simultaneously extract from the same spot both the lipidome and polar metabolome. However, we also propose a two-step protocol combining methanol and water extraction that improves polar metabolite extraction and shows improved reproducibility in Capitainer and Whatman. Short-term stability results highlighted that both polar metabolites and lipids were stable for up to 6 days using the Capitainer device, while with Whatman and Telimmune, some significant variations were observed after 3 days for some classes of metabolites/lipids, suggesting the need for cold-chain storage when working with these devices.
Extensions of Schoen–Simon–Yau and Schoen–Simon theorems via iteration à la De Giorgi
Authors: Bellettini Costante 
Published: February 2025

Abstract
We give an alternative proof of the Schoen–Simon–Yau curvature estimates and associated Bernstein-type theorems (Schoen et al. in Acta Math. 134:275–288, 1975), and extend the original result by including the case of 6-dimensional (stable minimal) immersions. The key step is an ε-regularity theorem, that assumes smallness of the scale-invariant

$L^{2}$

L
2

norm of the second fundamental form. Further, we obtain a graph description, in the Lipschitz multi-valued sense, for any stable minimal immersion of dimension

$n\geq 2$

n
≥
2

, that may have a singular set

$\Sigma $

Σ

of locally finite

$\mathcal{H}^{n-2}$

H

n
−
2

-measure, and that is weakly close to a hyperplane. (In fact, if the

$\mathcal{H}^{n-2}$

H

n
−
2

-measure of the singular set vanishes, the conclusion is strengthened to a union of smooth graphs.) This follows directly from an ε-regularity theorem, that assumes smallness of the scale-invariant

$L^{2}$

L
2

tilt-excess (verified when the hypersurface is weakly close to a hyperplane). Specialising the multi-valued decomposition to the case of embeddings, we recover the Schoen–Simon theorem (Schoen and Simon 34:741–797, 1981). In both ε-regularity theorems the relevant quantity (respectively, length of the second fundamental form and tilt function) solves a non-linear PDE on the immersed minimal hypersurface. The proof is carried out intrinsically (without linearising the PDE) by implementing an iteration method à la De Giorgi (from the linear De Giorgi–Nash–Moser theory). Stability implies estimates (intrinsic weak Caccioppoli inequalities) that make the iteration effective despite the non-linear framework. (In both ε-regularity theorems the method gives explicit constants that quantify the required smallness.)
Artificial intelligence-based cardiac transthyretin amyloidosis detection and scoring in scintigraphy imaging: multi-tracer, multi-scanner, and multi-center development and evaluation study
Authors: Salimi Yazdan , Shiri Isaac , Mansouri Zahra , Sanaat Amirhossein , Hajianfar Ghasem , Hervier Elsa , Bitarafan Ahmad , Caobelli Federico , Hundertmark Moritz , Mainta Ismini , Gräni Christoph , Nkoulou René , Zaidi Habib 
Published: February 2025

Abstract

Introduction
Providing tools for comprehensively evaluating scintigraphy images could enhance transthyretin amyloid cardiomyopathy (ATTR-CM) diagnosis. This study aims to automatically detect and score ATTR-CM in total body scintigraphy images using deep learning on multi-tracer, multi-scanner, and multi-center datasets.

Methods
In the current study, we employed six datasets (from 12 cameras) for various tasks and purposes. Dataset #1 (93 patients, 99mTc-MDP) was used to develop the 2D-planar segmentation and localization models. Dataset #2 (216 patients, 99mTc-DPD) was used for the detection (grade 0 vs. grades 1, 2, and 3) and scoring (0 and 1 vs. grades 2 and 3) of ATTR-CM. Datasets #3 (41 patients, 99mTc-HDP), #4 (53 patients, 99mTc-PYP), and #5 (129 patients, 99mTc-DPD) were used as external centers. ATTR-CM detection and scouring were performed by two physicians in each center. Moreover, Dataset #6 consisting of 3215 patients without labels, was employed for retrospective model performance evaluation. Different regions of interest were cropped and fed into the classification model for the detection and scoring of ATTR-CM. Ensembling was performed on the outputs of different models to improve their performance. Model performance was measured by classification accuracy, sensitivity, specificity, and AUC. Grad-CAM and saliency maps were generated to explain the models’ decision-making process.

Results
In the internal test set, all models for detection and scoring achieved an AUC of more than 0.95 and an F1 score of more than 0.90. For detection in the external dataset, AUCs of 0.93, 0.95, and 1 were achieved for datasets 3, 4, and 5, respectively. For the scoring task, AUCs of 0.95, 0.83, and 0.96 were achieved for these datasets, respectively. In dataset #6, we found ten cases flagged as ATTR-CM by the network. Out of these, four cases were confirmed by a nuclear medicine specialist as possibly having ATTR-CM. GradCam and saliency maps showed that the deep-learning models focused on clinically relevant cardiac areas.

Conclusion
In the current study, we developed and evaluated a fully automated pipeline to detect and score ATTR-CM using large multi-tracer, multi-scanner, and multi-center datasets, achieving high performance on total body images. This fully automated pipeline could lead to more timely and accurate diagnoses, ultimately improving patient outcomes.
Deep learning-based breast cancer diagnosis in breast MRI: systematic review and meta-analysis
Authors: Abdullah Kamarul Amin , Marziali Sara , Nanaa Muzna , Escudero Sánchez Lorena , Payne Nicholas R. , Gilbert Fiona J. 
Published: February 2025

Abstract

Objectives
The aim of this work is to evaluate the performance of deep learning (DL) models for breast cancer diagnosis with MRI.

Materials and methods
A literature search was conducted on Web of Science, PubMed, and IEEE Xplore for relevant studies published from January 2015 to February 2024. The study was registered with the PROSPERO International Prospective Register of Systematic Reviews (protocol no. CRD42024485371). The quality assessment of diagnostic accuracy studies-2 (QUADAS2) tool and the Must AI Criteria-10 (MAIC-10) checklist were used to assess quality and risk of bias. The meta-analysis included studies reporting DL for breast cancer diagnosis and their performance, from which pooled summary estimates for the area under the curve (AUC), sensitivity, and specificity were calculated.

Results
A total of 40 studies were included, of which only 21 were eligible for quantitative analysis. Convolutional neural networks (CNNs) were used in 62.5% (25/40) of the implemented models, with the remaining 37.5% (15/40) hybrid composite models (HCMs). The pooled estimates of AUC, sensitivity, and specificity were 0.90 (95% CI: 0.87, 0.93), 88% (95% CI: 86, 91%), and 90% (95% CI: 87, 93%), respectively.

Conclusions
DL models used for breast cancer diagnosis on MRI achieve high performance. However, there is considerable inherent variability in this analysis. Therefore, continuous evaluation and refinement of DL models is essential to ensure their practicality in the clinical setting.

Key Points

Question

Can DL models improve diagnostic accuracy in breast MRI, addressing challenges like overfitting and heterogeneity in study designs and imaging sequences?

Findings

DL achieved high diagnostic accuracy (AUC 0.90, sensitivity 88%, specificity 90%) in breast MRI, with training size significantly impacting performance metrics (p < 0.001).

Clinical

relevance

DL models demonstrate high accuracy in breast cancer diagnosis using MRI, showing the potential to enhance diagnostic confidence and reduce radiologist workload, especially with larger datasets minimizing overfitting and improving clinical reliability.
Fractional Variational Integrators Based on Convolution Quadrature
Authors: Hariz Belgacem Khaled , Jiménez Fernando , Ober-Blöbaum Sina 
Published: February 2025

Abstract
Fractional dissipation is a powerful tool to study nonlocal physical phenomena such as damping models. The design of geometric, in particular, variational integrators for the numerical simulation of such systems relies on a variational formulation of the model. In Jiménez and Ober-Blöbaum (J Nonlinear Sci 31:46, 2021), a new approach is proposed to deal with dissipative systems including fractionally damped systems in a variational way for both, the continuous and discrete setting. It is based on the doubling of variables and their fractional derivatives. The aim of this work is to derive higher-order fractional variational integrators by means of convolution quadrature (CQ) based on backward difference formulas. We then provide numerical methods that are of order 2 improving a previous result in Jiménez and Ober-Blöbaum (J Nonlinear Sci 31:46, 2021). The convergence properties of the fractional variational integrators and saturation effects due to the approximation of the fractional derivatives by CQ are studied numerically.