bluuebunny/crossref_metadata_2025_split huggingface dataset:
Numerische Ermittlung plastischer Grenzmomente der primären Torsion von U‐ und Winkelprofilen
Authors: Kraus Matthias , Ibáñez Stalin 
Published: January 2025

AbstractBei bautechnischen Nachweisen zahlreicher Stahlprofile ist es möglich, plastische Tragreserven auszunutzen. In der Literatur finden sich Algorithmen zur Bestimmung plastischer Grenztragfähigkeiten von Querschnitten unter Berücksichtigung verschiedener numerischer Herangehensweisen, wie z. B. der Finite‐Elemente‐Methode oder Verfahren mit Dehnungsiterationen. Insbesondere für Schubspannungszustände, wie sie bei der primären Torsion vorliegen, ist dies mit gewissen Herausforderungen verbunden. Darüber hinaus werden hierzu notwendige Verfahren häufig nicht derart aufbereitet, dass eine unmittelbare programmtechnische Umsetzung möglich ist. Im vorliegenden Beitrag wird daher ein Algorithmus für die plastische Analyse mit Verfahren der Finite‐Elemente‐Methode zur Querschnittsabbildung verknüpft und für das Problem der primären Torsion aufbereitet. Dabei werden Querschnitte durch isoparametrische zweidimensionale Elemente diskretisiert, die es erlauben, jede Geometrie mit hoher Genauigkeit zu beschreiben. Diese werden zur Bestimmung präziser Grenztragfähigkeiten der primären Torsion von baupraktisch relevanten warmgewalzten U‐ und Winkelprofilen genutzt, die zum aktuellen Zeitpunkt nicht verfügbar sind.
DSKIPP: A Prompt Method to Enhance the Reliability in LLMs for Java API Recommendation Task
Authors: Yang Jingbo , Wu Wenjun , Ren Jian 
Published: January 2025

ABSTRACTIn the realm of software development, selecting the appropriate Java application programming interfaces (APIs) from a vast pool remains a significant challenge for developers. This research addresses this complexity by tackling the limitations of current API recommendation methods, which often struggle to align API suggestions with the specific queries and development contexts. In this paper, we introduce a novel prompt method named DSKIPP (Development Scenario, key Knowledge and Intention's Progressive Prompt), designed to enhance the efficiency of large language models (LLMs) in Java API recommendations. Firstly, we devise an overview of DSKIPP which conducts LLMs through a sequential process: first, inferring the package level, followed by the class level, and ultimately the method level as an API comprises three distinct components at varying levels—package, class and method. Secondly, at each level, DSKIPP assists LLMs in deducing the development scenario associated with a query and the essential key knowledge relevant to that scenario. This approach enables LLMs to gain a more profound contextual understanding of the query's intention. Moreover, during the inference process at the class and method level, we implement a self‐check mechanism enabling LLMs to validate the results and ensure a more reasoned and reliable outcome. To validate the efficiency of DSKIPP, comparison and ablation experiments are both conducted within Java programming environment. The comparison results affirm that our method outperforms the current state‐of‐the‐art technologies in API recommendation tasks, while the ablation results shed light on why DSKIPP can enhance the reliability of API recommendations in LLMs. This research contributes to the field by offering a more reliable and context‐sensitive solution for API recommendation in software development.
The Appreciative Campus: Rehumanizing Higher Education Through the Appreciative Education Theory‐to‐Practice Framework
Authors: Propst Cuevas Amanda E. , Bloom Jennifer L. , Warshaw Jarrett B. 
Published: January 2025

ABSTRACTHow can we provide a quality student experience, cultivate human connections, and create learning and working environments in which all members of an institution can thrive? The purpose of this chapter is to highlight how the Appreciative Education theory‐to‐practice framework can help guide institutions in becoming Appreciative Campuses by providing a fully human‐centered approach for rehumanizing, recentering, and reinvigorating college campuses. We highlight the strides and strategies by which institutions may become Appreciative Campuses, to ultimately address postsecondary challenges through an intentional, human‐centered approach.
Afterwords
Authors: Okada Alexandra 
Published: January 2025

Abstract
This final chapter indicates three learning objectives:

Reflect on the findings from the case studies, particularly the opportunities and limitations of knowledge cartography.

Understand the benefits of mapping, such as visual thinking, insights, problem-solving, and decision-making.

Consider mapping techniques within communities of practice, using the CARE-KNOW-DO framework to foster shared knowledge creation across research, teaching, and learning.
Vernachlässigte Tropenkrankheiten
Authors: Walther Antonia , Kotsias-Konopelska Sarah , Gunasekara Leonie , Rahden Paul , Kobbe Robin 
Published: January 2025

Zusammenfassung
Vernachlässigte Tropenkrankheiten („neglected tropical diseases“, NTD) sind, insbesondere in ressourcenlimitierten Regionen und Ländern, ein bedeutendes globales Gesundheitsproblem. Klimawandel, politische Unruhen und wirtschaftliche Not, die zu Migration führen, sowie unzureichende Gesundheitsinfrastrukturen verschärfen die Situation und führen dazu, dass sich NTD ausbreiten und zunehmend an Relevanz auch für Deutschland und Europa gewinnen. Unterernährung und Entwicklungsstörungen als Folgen chronischer Infektionen führen v. a. bei Kindern zu langfristigen Einbußen in Gesundheit, Lebensqualität und Produktivität. Trotz der erheblichen Konsequenzen für Milliarden Menschen erhalten NTD vergleichsweise wenig Aufmerksamkeit und Forschungsförderung. Anlässlich des jährlich stattfindenden World NTD Tags am 30.01. beschäftigt sich dieser Artikel mit dem Thema, der Relevanz von NTD für Deutschland und Europa und gibt einen kurzen Überblick über den aktuellen Stand der Forschung in Deutschland.
Schneller zur genetischen Diagnose bei Kindern mit auffälliger Fazies durch künstliche Intelligenz
Authors: Krawitz Peter M. , Ruder Adele , Niehues Tim 
Published: January 2025

Zusammenfassung
Die Blickdiagnose gehört zu den ältesten und faszinierendsten Fähigkeiten in der Medizin. Sie erlaubt es, allein durch den geübten Blick eine Diagnose zu stellen oder zumindest eine Verdachtsdiagnose zu formulieren. Bei seltenen genetischen Erkrankungen ist diese Art der Diagnose jedoch meist Dysmorphologen – Experten, die speziell auf das Erkennen subtiler und auf das Vorliegen eines Syndroms hindeutender Gesichtsmerkmale geschult sind, – vorbehalten. Viele Kinder- und Jugendärzte besitzen eine ausgeprägte Intuition dafür, ob ein Kind eine auffällige Fazies aufweist. Diese wird in den klinischen Aufzeichnungen im englischsprachigen Raum manchmal mit der Abkürzung „funny looking child“ (FLC) vermerkt – ein Ausdruck, der die Schwierigkeit beschreibt, eine visuell erkannte Auffälligkeit eindeutig zu benennen und zuzuordnen. Mit der Hilfe von künstlicher Intelligenz (KI), insbesondere durch das System GestaltMatcher (sog. Next Generation Phenotyping, NGP), und anschließender genetischer Diagnostik (Next Generation Sequencing, NGS) können Kinder- und Jugendärzte bei auffälliger Fazies des Kindes schneller als bisher zur Diagnose selbst sehr seltener genetischer Erkrankungen kommen. Dies verkürzt nicht nur die Zeit der Unsicherheit bis zur Diagnosestellung, sondern kann ggf. auch einen erheblichen therapeutischen und psychologischen Nutzen für die betroffenen Kinder und ihre Familien darstellen.
Online-Ressourcen zu Sprunggelenkdistorsionen
Authors: Tengler Sophie Maria , Lenz Mark , Hofmann Gunther O. , Rosenthal Marianne , Roth Klaus E. , Mohr Lena , Waizy Hazibullah , Klos Kajetan 
Published: January 2025

Zusammenfassung

Hintergrund
Mit dem Internet als Hauptinformationsquelle für Gesundheitsinhalte ist die Qualität von Webseiten mit medizinischen Informationen von hoher Bedeutung.

Ziel der Arbeit
Diese Studie untersucht 250 Webseiten über die akute Sprunggelenkdistorsion (ASD) als eine der häufigsten Erkrankungen des Bewegungssystems auf ihre Qualität und Lesbarkeit. Anhand der Ergebnisse wurde ein eigener Ratgeber erstellt.

Methode
Mithilfe eines 25-Item-Scores sowie des EQIP36-Scores für medizinische Informationsmaterialien wurde die Qualität der Webseiten eingeschätzt. Das Leseniveau konnte anhand des Flesch-Kincaid-Index und der errechneten Lesbarkeit ermittelt werden. Die besten 3 Internetseiten wurden in einer Benutzerumfrage evaluiert.

Ergebnisse
Von 250 erfassten Webseiten konnten 77 in die Studie eingeschlossen werden. Die Qualität dieser variiert erheblich; keine erfüllte alle Anforderungen. Quellen des Gesundheitssystems zeigten eine höhere Qualität, während kommerziell betriebene Seiten eine unterdurchschnittliche inhaltliche Vollständigkeit aufwiesen. Lediglich 14 % der Webseiten erreichten das empfohlene Leseniveau. Es wurde ein signifikanter Zusammenhang zwischen inhaltlicher Vollständigkeit und geringer Lesbarkeit festgestellt. Die Benutzerumfrage zeigt eine durchwachsene Zufriedenheit. Teilnehmer mit medizinischem Vorwissen waren kritischer als Laien.

Diskussion
Online-Ressourcen zur ASD sind suboptimal und weisen erhebliche Unterschiede auf. Es wurden Mängel in Bezug auf Inhalt, Lesbarkeit und Struktur identifiziert, die die effektive Nutzung durch Patienten einschränken. Herausgeber von Gesundheitsinformationen sollten verstärkt daran arbeiten, die Verständlichkeit und Qualität der bereitgestellten Informationen zu erhöhen.

Graphic abstract
In a visual inverted pendulum balancing task avoiding impending falls gets harder as we age
Authors: Park Hannah E. , Bakshi Avijit , Lackner James R. , DiZio Paul 
Published: January 2025

Abstract
Younger adults (YA) and older adults (OA) used a joystick to stabilize an unstable visual inverted pendulum (VIP) with a fundamental frequency (.27 Hz) of half that of bipedal human sway. Their task was to keep the VIP upright and to avoid ± 60° “fall” boundaries. Both age groups were tested with joystick gains and delays simulating age-related muscle strength and reflex slowing, respectively. In previous VIP and analogous self-balancing tasks, we observed a mixture of discrete corrective commands toward the balance point and destabilizing commands toward an impending fall. We hypothesized that (1) OA would fall more than YA, (2) traditional whole-trial stability and variability measures would differ across age groups and VIP conditions, and (3) different dynamics of corrective and destabilizing commands would discriminate falling from recovery. Results: (i) Traditional whole-trial performance metrics of fall incidence and the variance of position and velocity were worse in OA than YA and worse with longer delays and excessive joystick gains; (ii) OA made fewer corrective and more destabilizing commands than YA only when falling was imminent; (iii) when falls were imminent, a logistic model fit the percentage of inactive, corrective, and destabilizing commands as a function of time left to fall; and (iv) OA were like YA in switching between inaction and action, but exhibited less frequent and less prompt corrective commands than destabilizing commands relative to YA. We discuss whether such a decision-like process may also operate in a bipedal stance.
Speciation and diffusive dynamics in hydrated grain boundaries of complex oxide Gd2Ti2O7
Authors: B. Ghosh Dipta , B. Karki Bijaya , Wang Jianwei 
Published: January 2025

Abstract
Grain boundaries in polycrystalline materials significantly affect their properties, such as ionic transport, corrosion, and chemical durability. The pyrochlore compound (Gd2Ti2O7) is employed as a model for complex oxides and is known for its diverse applications, including nuclear waste immobilization. Density functional theory-based first-principles molecular dynamics simulations were performed at different temperatures on the hydrated grain boundary system. The results show extensive transformations within the grain boundaries among hydrous water species (OH−, H2O, and H3O+). The temperature dependence of self-diffusion coefficients follows Arrhenius behavior, with an activation energy of 35.9 kJ/mol for hydrogen and 46.3 kJ/mol for oxygen. The lifetime of OH− is about three to four times longer than that of H2O at temperatures from 800 to 2100 K, suggesting the greater stability of OH− over H2O, a unique characteristic of the grain boundaries. The estimated lifetime of the hydrous species decreases as the temperature increases, with an activation energy of 9.9 kJ/mol for OH− and 13.4 kJ/mol for H2O. While Gd3
+ is more mobile than Ti4+, both the Gd3
+ and Ti4+ cations are orders of magnitude less mobile than the water species. The results suggest that water species are much more mobile within grain boundaries than in the bulk crystal and have the potential to penetrate deep into polycrystalline materials through grain boundaries, leading to grain boundary degradation and dissolution. The different mobilities of cations in complex oxides can lead to leaching of certain cations and incongruent dissolution during the chemical weathering of Earth and industrial materials.
Transition-related outcomes among a cohort of patients with juvenile idiopathic arthritis
Authors: De Nardi Laura , Pastore Serena , Benaly Hajar , Rispoli Francesco , Giovannini Ivan , Quartuccio Luca , De Vita Salvatore , Zabotti Alen , Tommasini Alberto , Taddio Andrea 
Published: January 2025

Abstract
A major goal in juvenile idiopathic arthritis (JIA) long-term management is to ensure a successful transition to adult age. This study aims to assess transition outcomes in a group of JIA patients during their passage from pediatric to adult healthcare assistance at a single center. This is a cross-sectional study. All patients with JIA undergoing a transition from the Pediatric Rheumatology Service of the IRCCS “Burlo Garofolo” Hospital, Trieste, to the adult Rheumatology Service of “Santa Maria della Misericordia” Hospital, Udine, between 2017 and 2022, were enrolled. Clinical and laboratory data were collected. A semi-structured survey exploring patients’ satisfaction was distributed through email. Numerical variables were compared using Student’s t-test or Mann–Whitney test. Categorical variables were compared with Fisher’s exact test. We recruited 36 patients (26 female, 72.2%): 9 with polyarticular course JIA, 13 oligoarticular, 8 psoriatic arthritis, 3 systemic JIA, and 3 enthesitis-related arthritis. The mean age at transition was 18.6 (Q1–Q3, 18.3–19.1). JADAS-27 score significantly decreased after the transition, with a mean difference of 2.6 (p = 0.014). No patients were lost to follow-up, and in 8 out of 36 (22.2%), a step-up therapy was needed within the first 12 months. Among these, no correlation was found with the JIA subtype, age at onset, type of involved joints, and other variables explored. Finally, the 15 patients who answered the survey (response rate 50%) were satisfied about the transition process. This study described a real-life transition experience from pediatric to adult rheumatology care, showing good transition outcome measures, with no patients lost to follow-up and a reduction of JADAS-27 score after completing the process.
Heterogeneity in definitions of surgical site infection after cranial surgery limits the validity of research findings in neurosurgery: a systematic review
Authors: Majidi Nika , Sivakumar Avanthika , Vogt Antonia , Ranganathan Sruthi , Ashkan Keyoumars , Price Stephen J. , Lee Keng Siang 
Published: January 2025

Abstract
Surgical site infections after cranial surgery (SSI-CRAN) are serious adverse events considering the vicinity of the wound to the central nervous system. Variability in outcome definitions can hinder the ability to produce reliable evidence. This systematic review aimed to investigate whether there is variation in SSI-CRAN definitions across studies and its impact on the identification of effective treatments for patients after cranial surgery. Systematic searches of Medline, Embase and Cochrane Central were undertaken. Studies that reported data about SSI-CRAN were included. Our final dataset consisted of 519 studies reporting SSI-CRAN. Subspecialties included were neuro-oncology (n = 103,19.8%), neurotrauma (n = 92,17.7%), paediatric neurosurgery (n = 56,10.8%), functional neurosurgery (n = 52,10.0%), neurovascular (n = 38,7.3%), skull base (n = 37,7.1%), cerebrospinal fluid dynamics (n = 11,2.1%), and general neurosurgical cases (n = 149,28.7%). A hundred and sixty-nine (32.6%) studies reported SSI-CRAN definitions. Twenty-six different indicators for SSI-CRAN were used, with a median of nine (range: one to 16) utilised per study. Only 21 (4.0%) studies considered the varying definitions of SSI-CRAN in their conclusions, indicating that a lack of consistent definitions across studies impacted the ability to draw clear conclusions. There are discrepancies in the definition of SSI-CRAN across the literature. This heterogeneity has hindered the ability to draw conclusions about the effects of interventions, with only 4.0% of authors accounting for this in their findings. It is important to be cautious when reviewing studies that report SSI-CRAN outcomes without acknowledging this heterogeneity, as the validity of their reported evidence may be limited. The implementation of a new core indicator set could support uniform reporting of indicators along with regulation of reported SSI-CRAN outcomes, thereby facilitating more effective evidence synthesis.
Calibration and optimal transport approaches for harmonizing survey weights
Authors: Tripet Arnaud , Tillé Yves 
Published: January 2025

Abstract
Originally, the construction of weighting systems to estimate parameters of interest in survey data does not depend on the variables of interest. However, recent research raises questions about the practice of using specific weighting systems for each variable of interest, thus deviating from the universal nature of the weights proposed by survey data processing methods. This article examines the challenge of harmonizing weights for variables with different weighting systems in survey data processing, by presenting and comparing two methods: one that creates a common weight for both variables using the calibration method, and one that uses optimal transport to match the variables. A simulation study is carried out to evaluate the performance of these methods in different sampling scenarios and with continuous and categorical variables. The results of the simulation study show that the optimal transport method for weight harmonization can provide accurate parameter estimates in different scenarios, particularly in situations where disparities between sample and population distributions are large. It therefore appears to be a more versatile solution.
Code generation for classical-quantum software systems modeled in UML
Authors: Jiménez-Navajas Luis , Pérez-Castillo Ricardo , Piattini Mario 
Published: January 2025

Abstract
Quantum computing is gaining an increasing interest since it can solve certain problems exponentially faster than classical computing. Thus, many organizations are researching and launching investments for integrating quantum software into their existing systems. Software modernization (as based on Model-Driven Engineering) has been proposed to migrate from/to the so-called hybrid software systems, which integrate classical and quantum software. In that process, both, reverse engineering and restructuring phases, have already been investigated. However, forward engineering phase for generating hybrid source code from high-level design models has not yet been addressed. Thus, this research proposes a quantum code generation technique from extended UML design models. It consists of a set of Model-to-Text transformations (defined through Epsilon Generation Language) to generate both Python and Qiskit code, which, respectively, integrate classical and quantum code. The transformation has been validated through a multi-case study with 7 hybrid software systems modeled in UML, which demonstrated that the transformation is effective and efficient. The implication of this work is that the software modernization process for hybrid software systems can be completed by tackling forward engineering phase, and that Model-Driven Engineering can therefore globally facilitate industry adoption of quantum software.
STViT+: improving self-supervised multi-camera depth estimation with spatial-temporal context and adversarial geometry regularization
Authors: Chen Zhuo , Zhao Haimei , Hao Xiaoshuai , Yuan Bo , Li Xiu 
Published: January 2025

Abstract
Multi-camera depth estimation has gained significant attention in autonomous driving due to its importance in perceiving complex environments. However, extending monocular self-supervised methods to multi-camera setups introduces unique challenges that existing techniques often fail to address. In this paper, we propose STViT+, a novel Transformer-based framework for self-supervised multi-camera depth estimation. Our key contributions include: 1) the Spatial-Temporal Transformer (STTrans), which integrates local spatial connectivity and global context to capture enriched spatial-temporal cross-view correlations, resulting in more accurate 3D geometry reconstruction; 2) the Spatial-Temporal Photometric Consistency Correction (STPCC) strategy that mitigates the impact of varying illumination, ensuring brightness consistency across frames during photometric loss calculation; 3) the Adversarial Geometry Regularization (AGR) module, which employs Generative Adversarial Networks to impose spatial constraints by using unpaired depth maps, enhancing performance under adverse conditions such as rain and nighttime driving. Extensive evaluations on large-scale autonomous driving datasets, including Nuscenes and DDAD, confirm that STViT+ sets a new benchmark for multi-camera depth estimation.