bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prospective, monocentric observational study on the clinical use and patient satisfaction of an implantable venous access Port
Authors: Werba Alexander , Hennes Roland , Schuh Fabian , Holze Magdalena , Maichle Barbara , Ramouz Ali , Bauer Mark , Braunsteffer Kai , Knebel Phillip , Klotz Rosa , Pianka Frank 
Published: February 2025

Abstract

Purpose
Long-term totally implantable venous access ports (TIVAP) are essential for administering chemotherapy and parenteral nutrition in cancer patients. This study aimed to evaluate patient satisfaction and postoperative complications, compared to existing literature, emphasizing patient-reported outcomes (PRO) as a critical factor in treatment decisions.

Methods
A prospective, monocentric observational study included 149 patients requiring TIVAP between April 13 and August 17, 2022. Patient satisfaction was assessed using a questionnaire covering four domains: overall satisfaction, willingness to choose the port again, cosmetic result, and pain experience. A meta-analysis of seven studies (1,035 patients) was performed to establish baseline data. The study assumed a non-inferiority margin of 12 points on a 0–100 scale (lower scores indicating better outcomes). Follow-ups were carried out at four weeks and six months.

Results
Of the 149 patients (mean age 58.8 years, 96% with oncological diseases), 117 (78.5%) TIVAPs were implanted via the cut-down technique, primarily using the cephalic vein (84.6%). Out of 1,240 documented catheter accesses, 91.4% were complication-free. Satisfaction scores demonstrated non-inferiority across all domains compared to literature: overall satisfaction (18.5 vs. 35.6; p < 0.001), willingness to choose the port again (15.8 vs. 29.4; p < 0.001), cosmetic result (38.0 vs. 39.9; p = 0.003), and pain experience (17.1 vs. 31.5; p < 0.001).

Conclusion
The study demonstrated adequate patient satisfaction and non-inferiority of the investigated TIVAP system compared to other systems, though no superiority was found in cosmetic outcomes.
Covariance models through difference between Matérn families
Authors: Posa D. 
Published: February 2025

Abstract
It is well known that Whittle–Matérn family represents one of the most utilized class of covariance functions because of some special features which are capable to describe several correlation structures. However, one of the main drawbacks of this last family concerns its failure to model negative correlation structures. In this paper, utilizing the Whittle–Matérn family, new classes of covariance models, suitable to model negative correlations, have been presented and their properties have been analyzed. The new families are flexible enough because they allow to choose covariance models which always present positive values in their domain, as well as covariance models which are negative in a subset of their domain. On the other hand, all the traditional hole effect models, proposed in the literature, essentially stem from the Bessel family and they are characterized by the same features, i.e., they present a countable infinity of zeros and a parabolic behaviour near the origin. Conversely, the models proposed in this paper are characterized by a complementary behaviour, which cannot be detailed by all the classical hole effect correlation models: they are essentially characterized by just one zero, moreover they are able to describe various behaviours near the origin (linear and parabolic), as well as different behaviours concerning the concavity in proximity of the origin (upwards and downwards). In summary, they can describe correlation structures which cannot be detailed by the Whittle–Matérn family.
Investigation of Design Potentials for Welding PBF-LB/M Manufactured Pure Copper Busbars to Conventional Copper Conductors
Authors: Putz Carsten , Grundmann Tim , Schleifenbaum Johannes Henrich 
Published: February 2025

Abstract
The advantages of the laser beam powder bed fusion process for metals (PBF-LB/M), such as geometric complexity due to increased design freedom or function integration, offer a great potential for optimizing products in the automotive sector. However, it often does not go beyond prototyping and small series as productivity is too low for the required quantities and economies of scale can rarely be exploited lucratively. In the field of e‑mobility, hairpin technology has recently come to dominate the copper winding of traction drives. The research field of additive manufacturing (AM) of copper windings for e‑machines has made significant progress in recent years, but additive manufacturing has not yet prevailed over conventional technologies, despite the product advantages.
In this study the approach of transferring the complexity of conventional hairpin windings into additively manufactured busbar assemblies and then joining them to conventional windings using laser welding is investigated. The advantage is that the less complex components of an electric machine can still be manufactured conventionally with high productivity.
For this purpose, different design variants of the connection geometry are developed at the interconnection area of the busbars and manufactured from copper using PBF-LB/M. The manufactured design variants are then joined to the conventional copper conductors using a laser welding process. A comprehensive analysis and evaluation of the connections is then carried out in four main categories. The design, the electrical conductivity, the critical heating und real boundary conditions as well as and the weldability are examined. Three designs with promising results and requirement fulfilling properties were identified. The results show that functions like form fitting can directly be added to the AM parts and by the complexity transfer, both advantages of additive manufacturing and conventional manufacturing can be combined by means of laser welding.
Universal approximation theorems for continuous functions of càdlàg paths and Lévy-type signature models
Authors: Cuchiero Christa , Primavera Francesca , Svaluto-Ferro Sara 
Published: February 2025

Abstract
We prove a universal approximation theorem that allows approximating continuous functionals of càdlàg (rough) paths uniformly in time and on compact sets of paths via linear functionals of their time-extended signature. Our main motivation to treat this question comes from signature-based models for finance that allow the inclusion of jumps. Indeed, as an important application, we define a new class of universal signature models based on an augmented Lévy process, which we call Lévy-type signature models. They extend continuous signature models for asset prices as proposed e.g. by Perez Arribas et al. (Proceedings of the First ACM International Conference on AI in Finance, ICAIF’20, Association for Computing Machinery, New York, 1–8, 2021) in several directions, while still preserving universality and tractability properties. To analyse this, we first show that the signature process of a generic multivariate Lévy process is a polynomial process on the extended tensor algebra and then use this for pricing and hedging approaches within Lévy-type signature models.
Posterior airway changes during and after Herbst appliance treatment
Authors: Bock Niko C. , Sonntag G. , Klaus K. , Ruf S. 
Published: February 2025

Abstract

Objectives
Herbst appliance treatment results in posterior airway space (PAS) increase. The published data, however, is based on rather small samples and shows large inter-individual variation. Therefore, the current aim was to investigate PAS changes during and after Herbst plus subsequent multibracket appliance (MBA) treatment in a retrospective cohort study and to search for possible pre-treatment influencing factors.

Materials and methods
503 former Class II:1 patients (overjet = 7.8 ± 2.4 mm, ANB angle = 5.0 ± 2.1°) who had undergone treatment at 13.8 ± 3.4 years (Department for Orthodontics, University of Giessen, Germany). Cephalograms from before (T0), after 24.9 ± 9.2 months of treatment (T1) and 26.1 ± 8.0 months after treatment (T2) were analysed for PAS changes (area-size and linear distances p, t, pC2, pC3, pC4. In addition, possible influencing pre-treatment characteristics were evaluated: overjet, ANB angle, Wits appraisal, ML/NSL angle, ArGoGn angle, age and skeletal maturity.

Results
On average, the PAS area increased by 23% during Herbst-MBA treatment (T1-T0) and remained constant (± 0%) thereafter (T2-T1). All linear distances also increased (6–19%) during T1-T0 and showed further increase (1–7%) during T2-T1. For all variables a large inter-individual variation existed. With regard to possible influencing factors on PAS changes, significant associations were observed for pre-treatment age and Wits appraisal of the patients.

Conclusions
PAS increases during Herbst-MBA treatment. For none of the assessed variables, relapse occurred afterwards. Young age and a large Wits appraisal were determined to be beneficial for PAS enlargement.

Clinical relevance
Herbst-MBA treatment seems to have a positive effect in the majority of Class II patients with reduced PAS.
Hereditary, non HINT1 related, axonal neuropathy with neuromyotonia
Authors: Spiliopoulos Kanellos C. , Veltsista Dimitra , Veltsou Eirini , Tzimogianni Valentini , Seo Go Hun , Kim JiHye , Lygerou Zoi , Chroni Elisabeth 
Published: February 2025

Abstract

Background
To date, neuromyotonia in the context of an inherited axonal neuropathy has been linked to autosomal recessive mutations in the histidine triad nucleotide binding protein 1 (HINT1) gene. In this study we describe two unrelated male patients with late-onset, predominantly motor, axonal neuropathy with neuromyotonia, who carried an autosomal dominant c.103G > A mutation in the myelin protein zero (MPZ) gene (NM_000530.8:c.103G > A, p.Asp35Asn), identified by whole-exome sequence analysis (WES).

Case Descriptions
The first patient presented progressive leg muscle weakness and stiffness with difficulty in walking, pain and increased creatine kinase levels,during his fifth decade of life. Electrophysiological examination revealed findings of an axonal, length-dependent polyneuropathy with spontaneous activity, mainly neuromyotonia. Over the 20-year disease course since the first reported symptoms, muscle weakness gradually worsened and he is currently unable to walk without assistance. A second male patient, unrelated to the first one, showed similar clinical and electrophysiological features of a length-dependent axonal neuropathy with neuromyotonia. WES detected the same MPZ missensevariant.

Conclusion
This study suggests a novel entity in the spectrum of Charcot-Marie-Tooth hereditary neuropathies, characterized by autosomal dominant axonal neuropathy with neuromyotonia (AD-NMAN).
The economic and environmental impact of limiting air routes where there is a rail alternative: a case study of Spain
Authors: Txapartegi Andoni , Cazcarro Ignacio 
Published: February 2025

Abstract
The current Spanish government pact includes a measure aimed at restricting domestic flights on routes where a rail alternative is available with a duration of less than 2.5 h. This measure aligns with similar initiatives undertaken by neighbouring countries, with the French model serving as a prominent example. In this study, we quantify the economic and environmental impacts of this policy using input–output analysis, taking into account the current post-COVID trends in the Spanish air and rail sectors. Given the lack of specific implementation details within the measure, we have developed several scenarios to explore its potential application both presently and in the future. The results indicate that while such measures negatively affect the aviation value chain, these adverse impacts are largely mitigated by the substitution with rail transport. Trains emerge as a superior alternative for reducing emissions, given their relatively low environmental impact. The various scenarios demonstrate significant differences in outcomes, underscoring the importance of the chosen implementation strategy in determining the overall impact of the measure.
Betti numbers of full Perazzo algebras
Authors: Miró-Roig R. M. , Pérez Josep 
Published: February 2025

Abstract
In this paper we prove that any full Perazzo algebra

$$A_F$$

A
F

, whose Macaulay dual generator is a Perazzo form

$$F\in K[X_0,\dots ,X_n,U_1,\dots ,U_m]_d$$

F
∈
K

[

X
0

,
⋯
,

X
n

,

U
1

,
⋯
,

U
m

]

d

with

$$n+1 = \left( {\begin{array}{c}d+m-2\\ m-1\end{array}}\right) $$

n
+
1
=

d
+
m
-
2

m
-
1

, is the doubling of a 0-dimensional scheme in

$$\mathbb {P}^{n+m}$$

P

n
+
m

and we compute the graded Betti numbers of a minimal free resolution of

$$A_F$$

A
F

.
Cross-platform edge deployment of machine learning models: a model-driven approach
Authors: KarlssonLandgren Albin , PerhultJohnsen Philip , Strüber Daniel 
Published: February 2025

Abstract
Deploying machine learning (ML) models on edge devices presents unique challenges, arising from the different environments used for developing ML models and those required for their deployment, leading to a gray area of competence and expertise between ML engineers and application developers. In this paper, we explore the use of model-driven engineering to simplify the deployment of ML models on edge devices, specifically smartphones. We present a DSL for the specification of the ML serving pipelines (pre- and postprocessing of data before and after inference), together with a model interpretation approach that allows to make changes to the pipeline during runtime, thus removing the need to re-release an application upon changes to a pipeline. We followed a design science approach, in which we elicited requirements through an initial artifact study and interviews with engineers at an industrial partner. This was followed by the design and implementation of a lightweight, JSON-based domain-specific language designed to describe ML serving pipelines, along with an accompanying Flutter library to execute the pipelines during runtime. A preliminary evaluation with four developers shows the potential of this approach to increase development speed, decrease the amount of code required to make changes to an ML serving pipeline, and make less-experienced engineers more confident contributing to the domain.
The extended EA ModelSet—a FAIR dataset for researching and reasoning enterprise architecture modeling practices
Authors: Glaser Philipp-Lorenz , Sallinger Emanuel , Bork Dominik 
Published: February 2025

Abstract
Conceptual modeling research is increasingly investigating the application of artificial intelligence (AI) and machine learning (ML) to automate tasks like model creation, completion, analysis, and processing. This trend also applies to enterprise architecture (EA) research. In contrast to its neighboring disciplines, such as business process management, EA lacks proper guidelines, patterns, and best practices to create high-quality EA models. A currently limiting factor for conducting AI-based research to bridge these gaps is the scarcity of openly available models of adequate quality and quantity. With this paper, our aim is to address this limitation by introducing the extended EA ModelSet, a curated and FAIR repository of enterprise architecture models represented in the ArchiMate modeling language that can be used by the research and practitioner community. We report on our efforts to build the EA ModelSet and elaborate on exemplary future empirical and ML-based research that can facilitate the dataset. We hope that this paper sparks a community effort toward the further development and maintenance of the EA ModelSet.
Behavioral evidence suggests the presence of a female-emitted sex pheromone in the water mite species, Arrenurus globator (O. F. Muller, 1776) (Acari: Hydrachnida; Arrenuridae)
Authors: Więcek Mariusz , Knapp Michal , Greczka Grażyna 
Published: February 2025

Abstract
Species from various animal taxa have been found to use pheromonal communication underwater. Although the use of pheromones in water mites has been previously suggested, experimental evidence for it remains sparse. We examined the behavioral responses of male and female Arrenurus globator to water in which conspecifics of the same and the opposite sex had been kept, in order to test the hypothesis that chemical communication occurs between sexes. Results suggest a putative female-produced sex pheromone that stimulates at least the initial steps of mating behavior in males. Males exhibited arrestant behavior, leg fanning and readiness posture more in female-conditioned water than in male-conditioned or control water. In contrast, females showed no response to either male-conditioned water or female-conditioned water.
Living systems are targeted: a challenge to the teleology of field theory
Authors: García-Valdecasas Miguel 
Published: February 2025

Abstract
Externalist theories of teleology are views that explain the actions and ends of living beings in terms of nonnormative phenomena. “Field theory” (FT) adds to them that teleology arises from external guidance. Embracing an artifact model, it considers all systems as functional by-products of their field relationships, whether these are internal or external to an organization. The key categories to understand how they do this are persistence (the tendency of an entity to return to the same trajectory after being perturbed) and plasticity (the tendency of an entity to find a particular trajectory from varying starting points). While FT offers a nuanced analysis of field relationships, it describes too many physical processes as teleological. Emblematic of it is that it pays no attention to the difference between two types of asymmetric change: the linear processes governed by global thermodynamic tendencies, which I call “terminal” because their end is increasing entropy, and the processes that utilize these same tendencies to stay away from equilibrium by creating local deviations of the second law, which I call “targeted”. Living systems use terminal field effects to prevent thermodynamic degradation and promote their own forms of organization. They generate their sources of guidance and are not just targeted with respect to external fields but also to themselves. Since the artifactual model of FT does not seem able to account for targeted tendencies, adopting the distinction between terminal and targeted processes could help FT overcome some of the perceived limits of its deflationary stance.
Increasing Health Literacy on ADHD: A Cross-Disciplinary Integrative Review Examining the Impact of ADHD on Brain Maturation, Composition and Function and Cognitive Processes Across the Life Course
Authors: Brown Louise E. , Tallon Mary , Bellgrove Mark A. , Rudaizky Daniel , Kendall Garth , Boyes Mark , Myers Bronwyn 
Published: February 2025

Abstract
There is a significant need to improve ADHD health literacy. This cross-disciplinary integrative review was conducted to synthesise the evidence on the impact ADHD has on brain maturation, composition and function as well as cognitive processes, across the life course. Although results are highly heterogenous, ADHD appears to be associated with (1) a significant delay in cortical maturation and differences in neuroanatomy that do not appear to fully resolve in adulthood, (2) atypical brain function, and (3) atypical cognitive processes. The cognitive processes implicated include working memory, inhibitory control, cognitive flexibility, alerting attention, reward processing, long-term memory, reaction time, time perception and estimation, planning, and complex decision making/problem-solving. We aim to use this data to develop a ‘framework/checklist” that parents, adults and clinicians can use to identify the possible mechanisms that may be contributing to an individual with ADHD’s challenges. This information can also be used to inform the content of ADHD education programs to ensure participants receive empirically-determine information from high quality review studies and meta-analysis that accurately reflects the rigor and limitations of study findings.
Enhancing Sentiment Analysis in Stock Market Tweets Through BERT-Based Knowledge Transfer
Authors: Cicekyurt Emre , Bakal Gokhan 
Published: February 2025

Abstract
One of the widely studied text classification efforts is sentiment analysis. It is a specific examination involving natural language processing and machine learning methods to understand semantic orientation from textual data. Working social media posts, such as tweets, for sentiment analysis, is quite common among researchers due to the speed of information dissemination. In this regard, forecasting stock market tweets is a widely studied research topic. Some studies have revealed a strong connection between sentiment and stock market performance, while others have not found any notable associations. The proposed work shows two distinct approaches to sentiment analysis over the stock market tweets. The first approach employs traditional machine learning algorithms, including logistic regression, random forest, and XGBoost. The second approach constructs deep learning (as a subfield of machine learning) models using LSTM and CNN algorithms to classify the test instances into positive, negative, or neutral classes through ten randomly shuffled data splits. In this study, the labeled data size is gradually increased utilizing a pre-trained model, FinBERT. It is exclusively employed to label unlabeled data instances to integrate them into the experiments. The goal is to monitor the effect of the additional newly-labeled examples on the sentiment analysis performance. The experiments showed that the average F1-score improved by 20% for the deep learning models and 17% for the machine learning models. In the end, the paper reveals a strong positive correlation between training data size and the classification performance of the experimental approaches.
Large Isotropic Elastic Deformations: On a Comprehensive Model to Correlate the Theory and Experiments for Compressible Rubber-Like Materials
Authors: Anssari-Benam Afshin , Saccomandi Giuseppe 
Published: February 2025

Abstract
The comprehensive incompressible strain energy function devised in a preceding contribution (J. Elast. 153:219–244, 2023) is extended in this work for application to the finite deformation of isotropic compressible rubber-like materials. Based on the two established approaches in the literature for constructing a compressible strain energy function

$W$

W

from the incompressible counterpart, two models are developed and presented: one model is developed on using a

$J\left (= \lambda _{1} \thinspace \lambda _{2} \thinspace \lambda _{3} \right )$

J

(
=

λ
1

λ
2

λ
3

)

term added to the general functional form of the incompressible model; and the second model on using the isochoric, or modified, principal stretches

$\left (\bar{\lambda }_{a}\right )$

(

λ
¯

a

)

,

$a = 1,2,3$

a
=
1
,
2
,
3

, in the functional form of the incompressible model, to account for the deviatoric contribution

$W_{dev}$

W

d
e
v

. The volumetric input

$W_{vol}$

W

v
o
l

is considred as an additive part. Each model is then simultaneously fitted to extant multi-axial experimental datasets, and the favourable correlation between the models’ predictions and the experimental data is demonstrated. Exemplar challenging individual datasets including a shear-softening behaviour exhibited by an elastomeric foam are also considered, whereby the excellent predictions of the said behaviours by the models will be illustrated. The compatibility of both models with the kinematics of slight compressibility will also be discussed and presented.