bluuebunny/crossref_metadata_2025_split huggingface dataset:
Minimal-invasive Stabilisation von Azetabulumfrakturen mit virtueller Navigation in Kombination mit robotergestützter 3-D-Bildgebung
Authors: Cintean Raffael , Schütze K. , Gebhard F. , Pankratz C. 
Published: November 2024

Zusammenfassung

Operationsziel
Die minimal-invasive Stabilisierung von nicht und minimal dislozierten Azetabulumfrakturen unter Anwendung intraoperativer, robotergestützter 3‑D-Bildgebung sowie eines Navigationssystems.

Indikationen
Nicht oder nur minimal dislozierte Frakturen des Azetabulums.

Kontraindikationen
Trümmer- und grob dislozierte Frakturen des Azetabulums, Protrusion des Hüftkopfes in das Becken mit der Notwendigkeit der offenen Reposition, fehlende Möglichkeit der intraoperativen Navigation.

Operationstechnik
Nach Lagerung des Patienten wird in die Spina iliaca anterior superior die patientenseitige Navigationsreferenz durch eine Schanz-Schraube befestigt. Anschließend können der 3‑D-Scan sowie die Registrierung des Datensatzes im Navigationssystem durchgeführt werden. Damit können die 7,3-mm-Schrauben über die 3‑D-Bildgebung geplant und anschließend durch Stichinzisionen implantiert werden.

Weiterbehandlung
Bei erfolgreicher Schraubenimplantation kann der Patient durch die minimal-invasive Operationstechnik am Folgetag schmerzadaptiert unter physiotherapeutischer Beübung mobilisiert werden. In der Regel ist eine Vollbelastung möglich.

Ergebnisse
Zwischen 2015 und 2023 wurden 101 Patienten mittels minimal-invasiver und navigationsgestützter Schraubenosteosynthese bei Azetabulumfrakturen versorgt. Bei 2 Patienten kam es nach Mobilisation zu einer sekundären Schraubendislokation in das Hüftgelenk, weshalb eine Revisionsoperation mit Neuplatzierung der Schraubenosteosynthese bzw. die Indikation zur Hüft-TEP notwendig war. Die minimal-invasive navigierte Schraubenosteosynthese bietet somit bei korrekter Indikationsstellung sowie Technik eine adäquate Möglichkeit der Versorgung von un- und minimal dislozierten Azetabulumfrakturen.
Joinpoint analyses of rates on hospital-recorded deliberate self-harm: an update on Danish national trends
Authors: Morthorst Britt Reuter , Heinrichsen Michella , Erlangsen Annette 
Published: November 2024

Abstract

Introduction
Deliberate self-harm (DSH) is a public health concern and the high rates among adolescents and females warrant continuous monitoring. The aim of this study was to determine trends in DSH rates by gender and age in Denmark during 2000–2021 using joinpoint regression analysis.

Methods
A cohort design was applied to national register data on all individuals aged 10 + years living in Denmark during 2000–2021. DSH episodes were identified in somatic and psychiatric hospital data. Sex- and age-specific incidence rates (IR) were calculated by calendar years. Using joinpoint regression analyses, segments of change and their annual percent change (APC) were identified.

Results
The highest DSH rates were observed for males and females aged 19–24 years with IRs of 146.8 (95% CI 142.9–150.7) and 378.6 (95% CI 372.1–385.0) per 100,000 person-years, respectively. Major changes in DSH rates were found for the youngest age groups. A step decrease was found for males aged 19–24 years (-18.4; 95% CI -31.9- -2.3; p = < 0.030) during 2012 to 2015. A significant decline was observed during 2012–2016 for females aged 19–24 years (-18.9; 95% CI -26.8 – -10.2; p = 0.001). Poisoning was the most frequently used method.

Conclusion
Seemingly, the financial recession in 2008 did not affect Danish DSH rates. Significant declines were observed for females in the years where means restrictive measures had been installed; thus, supporting their potential effect. Fluctuations in DSH rates among adolescents and young adults in recent years underscore the importance of continued monitoring.
Comparative Efficacy of Postoperative Pain Management Techniques Following Costal Cartilage Harvest: A Systematic Review and Network Meta-analysis
Authors: Guo Jihan , Li Xin , Li Jie , Yang Xiaoning , Yu Lu , Wang Tailing 
Published: November 2024

Abstract

Background
Efficient pain control is essential in reconstructive surgeries, particularly in procedures involving the harvest of costal cartilage. This study examines and compares different pain relief treatments using a network meta-analysis (NMA) to determine the most effective techniques for managing pain.

Methods
We performed a systematic review and network meta-analysis (NMA) by scanning several databases such as PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), China National Knowledge Infrastructure (CNKI), Wanfang, and Weipu till March 18, 2024. The review analyzed randomized controlled trials and observational studies that evaluated the effectiveness of local anesthetics and multimodal analgesia techniques in treating postoperative pain following costal cartilage harvest. Primary outcomes were pain scores at 6-, 12-, 24-, and 48-h post-surgery, while secondary outcomes included the need for rescue analgesia and opioid-related adverse effects.

Results
Fourteen studies involving 935 participants were included. The analysis revealed that multimodal strategies, particularly ‘Methylene Blue and Ropivacaine Intercostal Nerve Block (MB & Ropivacaine ICNB) combined with Patient-Controlled Analgesia (PCA),’ were the most effective techniques to reduce pain scores across 6, 24, and 48-h time points. “Pre-operation SAPB & PSB + PCA” was most effective in reducing pain score at 12h and significantly decreased the need for rescue analgesia and opioid-related adverse effects. In contrast, traditional ICNB with single drug consistently showed the least efficacy.

Conclusion
The results of our study strongly support the use of multimodal analgesic techniques instead of typical single medication ICNB for managing postoperative pain after costal cartilage harvest. These strategies not only provide superior pain control but also contribute to reducing the dependency on opioids, aligning with current clinical priorities to enhance recovery and minimize opioid-related risks.

No Level Assigned
This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.
Third-order geometric stiffness formulation for improved mesh convergence of thin and wide spatial beams in the generalized strain beam formulation
Authors: Nijenhuis M. , Meijaard J. P. , Naves M. , Aarts R. G. K. M. 
Published: November 2024

Abstract
This paper presents the stiffness formulation of a beam element with the relevant third-order nonlinear geometric effects for relatively wide and thin rectangular beams, in particular when loaded in the plane and simultaneously deformed out of the plane. The element is initially straight in its undeformed configuration. The formulation is based on Timoshenko beam theory with nonuniform torsion and Wagner effects. The derivation is carried out by means of the Hellinger–Reissner variational principle with custom interpolation functions. The element is incorporated into the generalized strain beam formulation for multibody systems. Numerical simulations of precision flexure mechanisms show that the use of a single third-order element per flexible member can already yield adequate performance, at a significant reduction of the necessary degrees of freedom and the computation time, compared with using multiple second-order elements in the generalized strain beam formulation.
Vertical variations in enzymatic activity and C:N:P stoichiometry in forest soils under the influence of different tree species
Authors: Błońska Ewa , Lasota Jarosław , Prażuch Wojciech , Ilek Anna 
Published: November 2024

Abstract
Tree species play a crucial role in shaping soil properties, significantly influencing nutrient cycling and ecological dynamics within forest ecosystems. In this comprehensive study, we examined the influence of tree species on soil chemistry especially on C/N/P stoichiometry and enzymatic activities across soil profiles. We analyzed soil samples beneath eight distinct tree species at three vertical horizons of soil: organic (O), humus mineral (A), and mineral enrichment (B) horizons. Our study involved detailed assessment of soil carbon, nitrogen, and phosphorus contents, along with the activities of key enzymes: β-glucosidase, N-acetyl-β-glucosaminidase, and phosphatase. The study revealed pronounced vertical stratification in soil properties, significantly influenced by the tree species. General linear models (GLMs) highlighted differences in C: N:P stoichiometry and enzymatic activity across different soil horizons and among tree species. Enzymatic activity was strongly correlated with C, N and P content. The conducted research confirms the distinctiveness of coniferous and deciduous species in terms of C, N and P stoichiometry and the activity of the tested enzymes involved in the C, N and P circulation. These variations are indicative of the intricate interactions between tree species and soil processes. Our findings underscore the role of diversity of trees in modulating soil nutrient dynamics and enzyme-driven processes, which are crucial for understanding soil ecosystem functions and nutrient cycling. This study provides new insights into the role of tree species in shaping the soil environment, offering implications for forest management and conservation strategies. Taking into account the impact of individual tree species covered by the research on the soil, it is worth considering the cultivation of mixed stands.
Unveiling an asymmetric relationship between global crude oil and local food prices in an oil-importing economy
Authors: Kharin Sergei , Kapustova Zuzana , Lichner Ivan 
Published: November 2024

Abstract
Recent swift comovements of local food and global crude oil prices have attracted the attention of policymakers and researchers. To evaluate this relationship, many studies have used time series models to explore global crude oil and local food prices. However, robust research based on advanced nonlinear time series models that incorporate control variables for their formation is lacking. In this paper, nonlinear techniques are applied to assess the asymmetric nexus between Brent oil prices and local retail food prices in Slovakia. To estimate this value, we extend the single-threshold NARDL approach to the MTNARDL model. The nominal exchange rate and industrial production index are used as the control variables. Compared with conventional NARDL models, the MTNARDL model provides a more detailed representation of global oil‒local food price linkages and detects the asymmetric effect of global oil prices on food prices from both long- and short-term perspectives. Interestingly, with respect to long- and short-term food price volatility, changes in response to oil price fluctuations are greatest under a regime with rather a small number of positive and moderate changes.
State-of-the-art therapy and innovative treatment strategies in esophageal squamous cell cancer
Authors: Korpan Martin , Puhr Hannah Christina , Prager Gerald Wolfgang , Ilhan-Mutlu Aysegül 
Published: November 2024

SummaryRecent advances in the development of new therapeutic agents and the execution of numerous randomized controlled trials have changed the landscape of systemic therapy approaches in patients with esophageal squamous cell cancer (ESCC). Particularly the inclusion of immunotherapy permits clinicians to improve patient management in multiple settings. This review gives an overview of standard-of-care treatment and sheds light on new therapeutic options, recently approved treatments, and ongoing trials.
Quartz grain surface features and mineralogy of sediments in the Sundarbans Forest site, Bangladesh: Constraints on the depositional environment and provenance
Authors: Hossain H. M. Zakir , Islam Md. Aminul , Al Hossain Anas , Armstrong-Altrin John S. , Nipa Farzana Yeasmin 
Published: November 2024

AbstractAn investigation on medium to coarse-grained quartz grains (QG) recovered from a ~ 100-m drilled core section of the Sundarbans Forest site in the southwestern Bangladesh was carried out to infer the source and depositional environment. Thirty-six microtextures were identified from 200 QG using a scanning electron microscopy (SEM). The QG surface features are categorized into mechanical (number of features n = 25), chemical (n = 5), and combined mechanical and chemical (n = 6), which provide invaluable insights on the transport mechanism, provenance, and depositional environment. Microtextures of mechanical origin include parallel striations, straight steps, crescentic percussion marks, conchoidal fractures, arcuate steps, fresh polished surfaces, V-shaped marks, broken edges, abrasion fatigue, and bulbous and meandering edges, which are more common in QG and ascribed to high-energy eolian and fluvial transports. The abundant chemical features such as crystalline overgrowth, silica globules, scaling, silica pellicle, and silica flower are omnipresent on QG surfaces, demonstrating a subaqueous diagenetic environment. Fracture plates/planes, high relief, elongated depressions, adhering particles, chatter marks, and oriented etch pits are common in the QG, suggesting a subaqueous nearshore marine environment. There is a high abundance of quartz (Si), feldspar (Na and K), titanite (Ti), and zircon (Zr) in the core sediments, indicating their derivation from felsic source rocks.
Exploring the Relationship Between Technological Progress, Human Capital, Political Uncertain, Energy Consumption, and Economic Growth: Evidence from a Panel Data Analysis
Authors: Oliveira Henrique , Moutinho Vítor Ferreira , Afonso Oscar 
Published: November 2024

AbstractThis study examines the determinants of economic growth by integrating technological progress, human capital, energy consumption, and monetary policy uncertainty in an extended theoretical model. The empirical investigation covers 18 economies from 2009 to 2019 and applies the Bias-Corrected Estimation (BC) and Generalized Method of Moments (GMM) techniques. The findings reveal that while gross capital formation is a significant growth driver, financial development has no meaningful impact. Notably, intermediate education contributes positively to growth, whereas advanced education surprisingly shows a negative effect. Additionally, the results indicate a direct relationship between renewable energy consumption and growth, with oil consumption having a negative impact. Political instability, measured by the Global Economic Policy Uncertainty (GEPU) index, also hinders growth.
Fractional Derivative-based Burger Creep Model for Soft Rocks and its Verification Using Tunnel Monitoring Results and Experimental Data
Authors: Tarifard Abolfazl , Török Ákos , Görög Péter 
Published: November 2024

AbstractConsidering the creep behavior of soft and weak rocks is critical for analyzing the long-term stability of underground constructions. This paper introduces a novel creep constitutive model to characterize the creep behavior of rocks under uniaxial and triaxial stress states. The fractional derivative Abel dashpot was used to improve the Burger model, and a viscoplastic component was added in series with the modified Burgers model to replicate the tertiary phase of rock creep. The effectiveness of the model was verified using creep test data from various soft rocks and monitoring measurements from a tunnel excavated in heavily jointed weak rock masses. Furthermore, a sensitivity analysis was carried out to assess the impact of the model parameters on creep deformation, and a comparative study was performed to evaluate the efficacy of the suggested model in modeling the accelerated stage of rock creep compared with some existing models. The strong agreement observed between the calculated results and both the creep test data and tunnel monitoring measurements underscores the accuracy and validity of the proposed model. The comparative analysis further revealed that the proposed model offers the highest fitting efficiency for describing the tertiary stage of rock creep. These findings suggest that the model effectively captures the creep behavior of rocks and precisely represents the entire creep process.
Nanograting-Based Dynamic Structural Colors Using Heterogeneous Materials
Authors: Wang Jingang , Yu Haibo , Zheng Jianchen , Zhang Yuzhao , Guo Hongji , Qiu Ye , Wang Xiaoduo , Yang Yongliang , Liu Lianqing 
Published: November 2024

AbstractDynamic structural colors can change in response to different environmental stimuli. This ability remains effective even when the size of the species responsible for the structural color is reduced to a few micrometers, providing a promising sensing mechanism for solving microenvironmental sensing problems in micro-robotics and microfluidics. However, the lack of dynamic structural colors that can encode rapidly, easily integrate, and accurately reflect changes in physical quantities hinders their use in microscale sensing applications. Herein, we present a 2.5-dimensional dynamic structural color based on nanogratings of heterogeneous materials, which were obtained by interweaving a pH-responsive hydrogel with an IP-L photoresist. Transverse gratings printed with pH-responsive hydrogels elongated the period of longitudinal grating in the swollen state, resulting in pH-tuned structural colors at a 45° incidence. Moreover, the patterned encoding and array printing of dynamic structural colors were achieved using grayscale stripe images to accurately encode the periods and heights of the nanogrid structures. Overall, dynamic structural color networks exhibit promising potential for applications in information encryption and in situ sensing for microfluidic chips.
The power of social networks and social media’s filter bubble in shaping polarisation: an agent-based model
Authors: Chueca Del Cerro Cristina 
Published: November 2024

AbstractThe role social media platforms play on the emergence of polarisation is an ongoing debate in the political communication literature. Social media’s filter bubbles and online echo chambers shape people’s opinions by curating the information they have available. However, the extent to which this is the case remains unclear. Social simulation scholars have provided valuable insights into the subject through opinion dynamics models and agent-based modelling approaches. This article proposes a social simulation approach to the topic of opinion dynamics from a political communication perspective to understand how social network configurations and the media environment contribute to the emergence of national identity polarisation. We built an agent-based simulation model of national identity dynamics with a multilayer multiplex network of interacting agents in a hybrid media environment of both, traditional media and social media platforms. We use the Catalan secessionist movement to ground, contextualise and empirically inform parts of our model. We found that the initial social network setup conditions had a large impact on the emergence of polarisation amongst agents. In particular, homophily-based social networks composed of a majority of like-minded individuals produced greater polarisation compared to random networks. This was aggravated in the presence of social media filtering algorithms, selectively exposing agents to supportive information. These results emphasise the importance of both the selective exposure by social media filtering algorithms and one’s social networks (echo chambers) for polarisation to emerge. This interaction reinforces the influence of social media platforms and social networks have on the emergence of polarisation.
Biomass-derived materials for energy storage and electrocatalysis: recent advances and future perspectives
Authors: Nguyen Van-Toan , Cho Kanghee , Choi Yujin , Hwang Byungwook , Park Young-Kwon , Nam Hyungseok , Lee Doyeon 
Published: November 2024

AbstractOver the last decade, there has been significant effort dedicated to both fundamental research and practical applications of biomass-derived materials, including electrocatalytic energy conversion and various functional energy storage devices. Beyond their sustainability, eco-friendliness, structural diversity, and biodegradability, biomass-derived materials provide additional benefits, including naturally organized hierarchical structures, rich surface properties, and an abundance of heteroatoms. These characteristics make them appealing candidates for effective energy storage and electrocatalytic energy conversion applications. This review explores the recent advancements in biomass-derived materials for energy storage system (ESS), including supercapacitors and electrocatalytic reactions. We also address the scientific and technical hurdles associated with these materials and outline potential avenues for future research on biomass-based energy conversion applications. By emphasizing the significance of controllable structural designs and modifications, we highlight their crucial roles in advancing this field.
Graphical Abstract
A theoretical approach to address environmental management accounting implementation barriers in small and medium enterprises in developing countries
Authors: Mukwarami Silas , van der Poll Huibrecht M. 
Published: November 2024

AbstractUniversal approaches to implementing environmental management accounting (EMA) have resulted in a paradigm shift in managing the physical and monetary aspects of the environment globally. While in developing countries, large enterprises continue to lead in implementing EMA, small and medium enterprises (SMEs) are finding it difficult to optimally benefit from embracing EMA. Hence, various players such as policymakers, academics, and environmental experts promote the establishment of new approaches that SMEs can apply to overcome a wide range of barriers inhibiting the successful implementation of EMA. Theories of small business growth, such as stakeholder and institutional, resource-based, and knowledge-based theories, advocate that an enterprise's success depends on the influence of stakeholders' expectations and institutional requirements and the management of the available resources and relevant expertise. A customised framework for applying these four (4) theories to understand the position of SMEs regarding EMA implementation barriers and the approach to address them is lacking. Therefore, in this article, we used a systematic literature review (SLR) using Preferred Reporting Items for Systematic Literature Review (PRISMA) to define the main aspects of these four (4) theories in the context of EMA implementation and identify EMA implementation barriers confronting SMEs. We recommend that SMEs consider applying the proposed framework to address EMA implementation barriers. The outcomes presented have implications for SME owners, government, environmental regulators, and large enterprises in establishing strong networks to encourage the implementation of EMA across the business spectrum.