bluuebunny/crossref_metadata_2025_split huggingface dataset:
NARRATIVAS PARA ALÉM DA PALAVRA
Authors: Ney Lilian da Silva , Dorneles Aline Machado 
Published: December 2024

Este texto de cunho narrativo é um convite a que possamos pensar e sentir sobre possibilidades outras de pesquisar e conversar acerca de nossas práticas educativas e investigativas em educação. Investigar narrativamente nossas práticas, flerta com uma escrita e uma escuta atenta e amorosa, apostando nas narrativas como possibilidade de potencializar as práticas educativas, estudos e experiências nos/dos/com os cotidianos e os saberes e fazeres que acontecem nas universidades e nas escolas. Neste sentido, o presente artigo tece reflexões sobre o devaneio como proposta de artesania narrativa, a deriva como possibilidade de ressignificar o vivido e a própria narrativa como um fazer poético. Investigar narrativamente o que se passa no cotidiano, tomando a prática como centralidade, é colocar a experiência do sujeito no centro do debate. Somos constituídas de histórias, únicas e singulares, narramos nossas experiências e memórias, compartilhamos saberes e conhecimentos buscando tecer outras reflexões teórico-metodológicas ao nos reinventarmos através da narrativa, em um processo de (auto)formação pessoal em conversa com a memória individual e coletiva. Uma formação singular habitada por muitas “pessoinhas”, com nossas histórias e biografias singulares e plurais, individuais e coletivas, pois somos feitas de histórias, de muitas histórias passadas, presentes e futuras. Viver de utopias, sonhos, devaneios, metáforas, presenças, ausências, atravessamentos, encantamentos, é um convite a investigar e compartilhar narrativamente essas experiências.
Scientific Diplomacy: An Opportunity for Security and National Defense in Colombia
Authors: Navas Camargo Fernanda Johanna 
Published: December 2024

The present paper introduces the concept of Science Diplomacy for Security and Defense in Colombia as a means to pursue Soft Power activities that can contribute to both the perception of security by the community, and the development of Defense strategies for the country. For this purpose, the document begins by making a review of the definition of Scientific Diplomacy for Security and National the Defense and continues into highlighting emblematic cases from Colombia, as the central argument into recognizing the great potential this area has for Security and National Defense in the domains of land, sea, air and cyberspace. The scope of the research is descriptive, as its intention is to be a starting point for further analysis on the subject. The problem identified is the lack of recognition of the potential that science diplomacy represents both in terms of competitive advantage for geopolitics and as a contribution to the image of the military forces as an organization whose functions go beyond purely war activities to include important scientific developments. The paper concludes by issuing general recommendations to achieve such recognition.
Desafíos de la seguridad humana en los nuevos dominios de la guerra
Authors: Cano Cuevas Diego Fernando 
Published: December 2024

El presente documento examina los nuevos dominios de la guerra y los desafíos que plantean a la seguridad humana en la era moderna. En particular, se analiza el ciberespacio, las operaciones de información y la militarización del espacio exterior como dominios emergentes que requieren una atención estratégica y una política adecuada. En primer lugar, se aborda el ciberespacio como un dominio crítico. El crecimiento exponencial de la conectividad digital ha dado lugar a una mayor vulnerabilidad a los ciberataques, arriesgando la seguridad e intimidad de las personas. Proteger los datos de cada persona y la infraestructura digital se vuelve esencial para salvaguardar la seguridad humana. En segundo lugar, se exploran las operaciones de información como un desafío importante. La propagación de desinformación puede disminuir la confianza en las instituciones y generar polarización en la sociedad; por eso, se prioriza enseñar sobre medios y pensamiento crítico para contrarrestar estas amenazas a la seguridad humana. Por último, se analiza la militarización del espacio exterior como un nuevo dominio de guerra: actividades militares en el espacio como la vigilancia y el desarrollo de armas antisatélite plantean riesgos significativos para la seguridad y la estabilidad mundial. La comprensión de estos desafíos y el desarrollo de políticas efectivas son cruciales para proteger la seguridad de las personas y sus derechos. El abordaje integral de estos desafíos es esencial para garantizar el bienestar de cada ser humano en un mundo que cada día depende más de la cibernética y la tecnología.
Methyltransferase like 13 promotes malignant behaviors of bladder cancer cells through targeting PI3K/ATK signaling pathway
Authors: Zhang Jun , He Jiejie , Qiang Ziyang , Zhang Junli , Hao Fengchen , Song Shiqi , Chen Xiuying , Ma Wei , Li Yan 
Published: December 2024

Abstract
Bladder cancer (BC) is the tenth most common tumor worldwide, characterized by high incidence rates and mortality. This study aimed to explore the role of Methyltransferase like 13 (METTL13) in BC cells. J82 and T24 cells were cultured for in vitro experiments. Cell viability, migration, and invasion were assessed using CCK-8 and transwell assays. Senescence-associated beta-galactosidase (SA-β-gal) levels were detected using a β-galactosidase staining kit. METTL13 and cell cycle-related protein levels were quantified using RT-qPCR and Western blotting. The results showed that METTL13 was upregulated in BC cells. Silencing METTL13 decreased cell viability, migration, and invasion in BC cells, whereas METTL13 overexpression increased these parameters. Additionally, METTL13 knockdown inhibited the phosphorylation levels of PI3K, AKT, and mTOR. Inhibition of the PI3K/AKT pathway reversed the effects of METTL13 on cell viability, migration, invasion, and cell cycle-related proteins in BC cells. In vivo experiments showed that METTL13 knockdown inhibited tumor growth and development. In conclusion, this study demonstrated that METTL13 promoted the malignant behaviors of BC cells through activation of the PI3K/AKT signaling pathway. METTL13 may be a promising therapeutic target for BC in the future.
Emotion-Driven Training: Innovating Virtual Reality Environment for Autism Spectrum Disorder Patients
Authors: Abdulbaki Alshirbaji Tamer , Arabian Herag , Igel Marcel , Wagner-Hartl Verena , Moeller Knut 
Published: December 2024

Abstract
Autism Spectrum Disorder (ASD) presents neurodevelopmental challenges in social interaction, communication, and restricted or repetitive patterns of behaviour. Common conditions of ASD may include difficulties in understanding social cues and engaging in conversations. With the spread of virtual and augmented reality technologies, there has been growing interest to develop game-based learning approaches for helping patients and reducing the impact of ASD. Thus, a virtual environment has been developed to be used in a system dedicated for the emotional training of patients with ASD to improve social interaction and develop appropriate emotional responses to real-life scenarios.
Investigation into the feasibility of a lightguide based prevention of catheterassociated urinary tract infections (CAUTI)
Authors: Akrah Aya , Hessling Martin 
Published: December 2024

Abstract
Catheter-associated urinary tract infections are among the most common hospital-acquired infections and all previous measures to reduce their incidence have been less successful. Therefore, the present study investigates an approach based on the antimicrobial effect of visible light. The radiation of a violet or blue LED is guided via optical fiber with a diffuser tip into a catheter surrounded by an E. coli suspension (phosphate buffered saline or urine) in a simple urinary tract model. The irradiation led to bacterial reductions of up to several orders of magnitude that depended on various parameters. Violet light had a stronger antimicrobial effect than blue light, even in the experiments with urine, which absorbs violet light more strongly than blue light. An increase in irradiation intensity led to a greater reduction in bacteria. Human cells are not expected to be damaged by this irradiation. Therefore, the application of violet light to prevent catheter-associated urinary tract infections seems particularly promising but should be tested on even more realistic models in the future, which should not only include planktonic cells but also biofilms.
Predicting Upper body Muscle Activation Patterns in Paralympic Cross-Country Skiing Using Neural Networks and Accelerometer Data
Authors: Barioudi Hatim , Felderhoff Thomas , Mrachacz-Kersting Natalie 
Published: December 2024

Abstract
Paralympic cross-country skiing is a competitive and physically demanding sport developed for individuals with physical disabilities. In addition to good training and endurance, sports equipment is a key factor in achieving success. The design of sports equipment must be customized to accommodate specific impairments. Furthermore, biomechanical and neurophysiological factors need to be considered when designing equipment such as ski sledges. Among other neurophysiological factors, muscle activity, typically measured using electromyography (EMG), plays a crucial role. However, due to the high level of dynamic movement in the sport, EMG measurements are not always feasible. This study explores the possibility of estimating EMG data using neural networks and acceleration data. A feedforward neural network model was created and trained to predict upper body muscle activation from acceleration data. Validation of the model using statistical metrics yielded promising results, suggesting its effective use in predicting muscle activity. This research sets the stage for enhancing understanding and optimizing equipment in Paralympic cross-country skiing, ultimately enhancing the performance of para-athletes.
Axial Field of View Expansion by Switchable Halbach Dipole Rings: A Simulation Study
Authors: Berghausen Katharina , Aderhold Eric , Graeser Matthias 
Published: December 2024

Abstract
In Magnetic particle imaging (MPI), the spatial encoding of the particle response is achieved by a magnetic gradient field called selection field. In this work a selection field generator based on two pairs of nested and freely rotatable Halbach cylinders in dipole configuration generating a gradient field in form of a linear field free region (FFR) is proposed. Through adequate rotation of the Halbach dipoles the FFR can be moved continuously along the cylinder axis. To understand and evaluate the movement of the FFR for different sequences of dipole rotations a simulation study is conducted. The simulation is based on the approximation of a permanent magnet’s field as a magnetic dipole field, so that the Halbach cylinder field results from the superposition of circularly arranged magnetic dipole moments. By the summation of four Halbach dipole fields the selection field can be calculated. It has turned out that the opposite rotation and the matching field strengths of the dipoles of a pair are prerequisites for the movement of the FFR. With regard to the gradient field strengths and the movement speed of the FFR within a potential imaging area, a phase-shifted rotation of two pairs seems promising for the use in MPI.
A numerical study to investigate the impact of cell size of self-expanding aortic valve stents on paravalvular leakage
Authors: Borowski Finja , Supp Laura , Oldenburg Jan , Kaule Sebastian , Öner Alper , Schmitz Klaus-Peter , Stiehm Michael 
Published: December 2024

Abstract
Transcatheter aortic valve replacement (TAVR) has become the standard treatment of multimorbid patients with severe aortic valve stenosis. One frequently observed complication after TAVR procedure is the occurence of paravalvular leakage (PVL). PVL is caused by a gap between the vessel wall and the TAVR stent, enabling blood to flow from the aorta back to the ventricle during diastolic phase. A high PVL rate leads to increased mortality of TAVR patients. To avoid this complication, pericardial skirts were developed by manufacturers to seal the leakage gap. Furthermore, the aim is to improve the conforming expansion of the TAVR stent to the vessel wall, especially for the self-expanding TAVR consisting of nitinol. One factor for the expansion is the size and shape of the TAVR stent cells, which vary between 9 and 15 cells in the circumferential direction for established TAVR devices. To quantify the impact of different cell sizes on the occurence of PVL, we performed numerical studies with different TAVR designs and investigated the PVL for each TAVR design. For this purpose, we developed three different TAVR designs with 9, 12 and 15 stent cells in the circumferential direction of the TAVR. These were deployed into a generic aortic root model with standardized calcification in the annulus region using finite element simulations. Afterwards, the PVL was calculated using numerical flow simulations. We found that the TAVR stent design with nine cells had the highest PVL rate (11.2mLs−1). In contrast, the TAVR stent design with 15 cells had the lowest PVL (4.8mLs−1). Our study thus showed a decisive impact of cell size on the sealing behavior of the TAVR stent and, accordingly, the PVL.
Smart Circular Economy in healthcare – An introduction to the 9R framework
Authors: Bühler Lydia , Fendt Daniela , Wittenberg Thomas , Hamper Andreas 
Published: December 2024

Abstract
This contribution examines the concept of circular economy (CE) within the healthcare sector, introducing the 9R paradigm as a novel framework for the implementation of sustainable strategies. Given the significant CO2 emissions from the medical device sector and the heterogeneous digitalization across the industry, CE offers an avenue to minimize environmental impact while simultaneously enhancing patient care. Leveraging advanced data platforms and digital technology can help reduce resource waste and CO2 emissions, while also optimizing patient care by avoiding redundant diagnostics and treatments. The contribution provides a brief introduction for the application of the 9R paradigm in the healthcare sector and highlights the opportunities associated with the implementation of CE strategies. It outlines innovative data-driven business models based on CE and digital transformation principles. In conclusion, the strategic application of R-strategies can be described as a multi-layered approach requiring close collaboration among all stakeholders to shape a more sustainable and efficient future in healthcare and provide new digital business models.
Droplet sizes and delivery rates from film breakup aerosolisation mode in porous materials
Authors: Clement Alexander , Koch Wolfgang , Glasmacher Birgit , Pohlmann Gerhard 
Published: December 2024

Abstract
A novel two-phase aerosolisation mode utilizing porous materials is investigated, aiming to improve aerosol delivery for medical inhalation. Sintered stainless steel filters with varied pore sizes (PS) from 0.2 μm to 7 μm were used to generate aerosols from a 0.9 wt.% sodium chloride solution. Droplet sizes and delivery rates were measured using laser diffraction spectroscopy. Further measurements included shadow imaging. Results indicate that aerosolisation occurs within a specific range of PS with droplet sizes increasing with increasing PS. The droplets generated are suitable for inhalation therapies. A hypothesis is established about the process of droplet formation which states that different PS within the porous material serve distinct functions that contribute to the breakup of liquid films into aerosol particles. Droplet formation is the result of film breakup in pores filled with fluid. This low-energy aerosolisation method has the potential to be used in handheld devices for sensitive drug formulations, overcoming the limitations of current technologies. Further research is needed to optimize the pore size distribution and enhance aerosol generation efficiency.
Modeling Human Ventricular Cardiomyocyte Force-Frequency Relationship
Authors: Duhme Jan-Erik , Krauß Jonathan , Loewe Axel 
Published: December 2024

Abstract
We investigate the force-frequency relationship (FFR) representation of human ventricular cardiomyocyte models and point out shortcomings, motivated by discrepancies in whole-heart simulations at increased pacing rates. Utilizing the openCARP simulator, simulations across frequencies ranging from 1 Hz to 3 Hz were conducted. Experimental data on healthy human ventricular cardiomyocytes were collected and compared against simulated results. Results show deviations for all models, with Tomek et al. modeling time sensitive biomarkers the best. For example, the ratio of time to peak tension at 2 Hz and 1 Hz is around 85% for experiments, 82% for hybrid data, 95% for Tomek et al., 98% for O’Hara et al. and 138% for ten Tusscher et al. These discrepancies, highlight not only the need for careful selection of ionic models, but also the importance of refining ventricular cardiomyocyte models for advancing in-silico cardiac research.
Using Vision Transformers for Classifying Surgical Tools in Computer Aided Surgeries
Authors: El Moaqet Hisham , Janini Rami , Abdulbaki Alshirbaji Tamer , Aldeen Jalal Nour , Möller Knut 
Published: December 2024

Abstract
Automated laparoscopic video analysis is essential for assisting surgeons during computer aided medical procedures. Nevertheless, it faces challenges due to complex surgical scenes and limited annotated data. Most of the existing methods for classifying surgical tools in laparoscopic surgeries rely on conventional deep learning methods such as convolutional and recurrent neural networks. This paper explores the use of pure self-attention based models-Vision Transformers for classifying both single-label (SL) and multi-label (ML) frames in Laparoscopic surgeries. The proposed SL and ML models were comprehensively evaluated on the Cholec80 surgical workflow dataset using 5-fold cross validation. Experimental results showed an excellent classification performance with a mean average precision mAP=95.8% that outperforms conventional deep learning multi-label models developed in previous studies. Our results open new avenues for further research on the use of deep transformer models for surgical tool detection in modern operating theaters.
Robustness of a DenseNet-121 for the Classification of ARDS in Chest X-Rays
Authors: Fonck Simon , Fritsch Sebastian , Nguyen Alina , Kowalewski Stefan , Stollenwerk André 
Published: December 2024

Abstract
Research in the field of artificial intelligence (AI) in medicine is increasingly relying on algorithms based on deep learning (DL), especially for radiology. Despite producing promising results, DL models have a major drawback: their reliance on large training datasets. Especially in medicine, large, annotated datasets are hard to obtain, leading to low robustness and a performance loss when exposed to unseen, new data. To address this problem, our research evaluates how well data augmentation is able to expand the used dataset and thus improve a DL model. We employ 17 different augmentation methods to test the robustness of a DenseNet-121 trained to classify Acute Respiratory Distress Syndrome (ARDS) in chest X-rays. Our experiments show that while the model has low robustness for augmented test data when trained on unaugmented data, the general performance for ARDS classification can be improved by augmenting the training data. Overall, this demonstrates that data augmentation is beneficial in training AI models for ARDS classification in order to create more robust and generalizable models.
Results of a quantitative Delphi study investigating needs of people with Traumatic Brachial Plexus Injury
Authors: Hofmann Veronika , Maufroy Christophe , Pott Peter P. , Schneider Urs 
Published: December 2024

Abstract
Traumatic Brachial Plexus Injury (TBPI) causes arm paralysis, impacting daily activities and reintegration into work. This paper presents the results of the first round of a quantitative Delphi study. The aim is to gather insights from five expert groups. The investigated user requirements primarily encompass design aspects like weight, fitting, and adjustability to accommodate adaptations. Besides increased functionality, a benefit for psychological recovery is presumed.
One-shot learning HMI for people with disabilities
Authors: Homann Hanno , Rohbani Cedric , Will Jens Christian 
Published: December 2024

Abstract
For people with physical disabilities, it is often desirable to regain control over their personal environment and communication tools. This paper introduces a novel Human- Machine Interface (HMI) using one-shot learning for individualized control signals without extensive training or specialized hardware. Our work suggests a modular system that utilizes common, easily accessible devices like webcams to interpret user-defined gestures and commands through a single demonstration. As a feasibility study on healthy volunteers, we investigate the control of a computer mouse by head movements only. We demonstrate the technical details of the HMI and discuss its potential applications in enhancing the autonomy and interaction capabilities of users with disabilities. By combining usercentric design principles with the advancements in one-shot learning, we aim to forge a more inclusive, accessible path forward in the development of assistive technologies.
Novel therapeutic strategy for unilateral diaphragmatic paralysis in children with univentricular circulation: EMG-guided diaphragmatic stimulation
Authors: Kratz Tobias , Ruff Roman , Koch Timo , Breuer Johannes , Asfour Boulos , Herberg Ulrike , Bierbach Benjamin 
Published: December 2024

Abstract
Unilateral diaphragmatic paralysis in children with univentricular circulation poses significant challenges, including impaired hemodynamics and increased postoperative complications. Restoring diaphragmatic function is crucial to mitigate these risks. This study investigates the feasibility of automated stimulation of the paretic diaphragm half using electromyography (EMG) signals from the non-paretic side following transection of the right phrenic nerve. Our findings demonstrate successful automated stimulation, suggesting the potential development of an EMG-triggered synchronized unilateral diaphragmatic pacemaker. This innovative approach holds promise as a novel therapeutic intervention for managing unilateral diaphragmatic paralysis in pediatric patients with univentricular circulation.