bluuebunny/crossref_metadata_2025_split huggingface dataset:
ACESSO DE MULHERES EM SITUAÇÃO DE RUA AOS SERVIÇOS DE SAÚDE: UMA REVISÃO INTEGRATIVA
Authors: Alves Keyse Christine , Mendes Paulo Cezar , Santos Flávia de Oliveira , Moura Gerusa Gonçalves 
Published: September 2024

Introdução: O acesso de pessoas em situação de rua aos serviços de saúde constitui um verdadeiro desafio para gestores e usuários. Neste grupo merece destaque as mulheres em situação de rua (MSR), cujo grau de vulnerabilidade é acrescido pelo acometimento de violências de diferentes tipos e as particularidades inerentes ao sexo feminino. Objetivo: Este estudo busca entender o cenário do acesso de mulheres em situação de rua aos serviços de saúde. Material e métodos: Realizou-se uma revisão integrativa, nas bases de dados LILACS, MedLine, SciELO e Pubmed. Foram selecionados artigos originais, completos, nacionais, nos idiomas inglês, espanhol e português, publicados entre Janeiro de 2009 a Agosto/2023. Resultados: Foram incluídos nesta RI um total de 10 artigos encontrados através da seleção realizada nas bases de dados. A literatura evidenciou que MSR não costumam procurar atendimento médico, a não ser em caso de grande necessidade ou urgência, além de enfrentar diversos desafios para garantir sua saúde. Conclusão: As MSR procuram por serviços de saúde apenas em situações de urgência, desejam mudanças no estilo e na qualidade de vida, porém frequentemente sofrem discriminações pelos próprios profissionais da saúde. As equipes de Consultório na Rua são os serviços de saúde mais procurados por estas mulheres. Por fim, há uma necessidade de desenvolvimento de políticas públicas no âmbito da saúde voltadas para as MSR, considerando seus modos de vida, suas vivências e suas particularidades.
Exploring Young People’s Attitudes Towards Basic Income
Authors: Bollain Julen , Guerendiain-Gabás Itziar , Arnoso-Martínez Maitane , Elías Ortega Ángel 
Published: September 2024

Abstract
Today’s youth find it extremely difficult to look beyond the present, in large part due to the precariousness of the labour market. Unconditional basic income, meanwhile, is emerging as the economic and social policy that is attracting most interest as an alternative not only to the conditional minimum income programmes, but also to the increasing unemployment and precarious conditions of employment. This survey study, conducted among students at the University of the Basque Country (UPV/EHU) in 2021 (n = 709), explores the attitudes of young people towards basic income. Findings reveal strong support among Basque youth for basic income, citing its potential to enhance personal freedom and improve living conditions. While previous studies have already found that young people tend to be more supportive of basic income, this research fills a gap in the literature by analysing in depth young people’s attitudes and beliefs about this policy proposal.
Feature Description using Autoencoders for Fast 3D Ultrasound Tracking
Authors: Wulff Daniel , Ernst Floris 
Published: September 2024

Abstract
3D ultrasound imaging is a promising modality for therapy guidance, e.g. in radiation therapy. It is able to provide volumetric soft tissue images in real-time. However, due to low image quality, high noise ratio and high data dimensionality, real-time capable US image processing methods like target tracking are challenging. In this study, a feature-based tracking approach is investigated. The FAST feature detector is used to detect local image features in 3D ultrasound images. Two different feature descriptors are tested and evaluated in terms of target tracking: The BRIEF descriptor as well as a slicedwasserstein autoencoder. On the basis of a feature matching algorithm, tracking experiments are executed and evaluated using eight labeled 3D US sequences. The mean tracking error measured is 2.08±1.50mm and 2.29±1.59mm using the autoencoder and the BRIEF descriptor, respectively. The results indicate that using an autoencoder for feature description improves the tracking performance compared to a binary descriptor. The proposed tracking method could be executed in fast runtimes of 137 ms and 256 ms per image on average making it real-time capable.
Gamified Virtual Reality Training for Visuospatial Ability in Neuroradiology
Authors: Allgaier Mareen , Jered Härtel Tim , Zubel Seraphine , Thormann Maximilian , Behme Daniel , Preim Bernhard , Saalfeld Sylvia 
Published: September 2024

Abstract
During neuroradiological interventions such as treating intracranial aneurysms, neuroradiologists have to navigate a catheter in the 3D anatomy while watching a 2D projection of the vessels. To train this visuospatial ability, we present a virtual reality application where the user has to identify anatomically relevant positions on the Circle of Willis based on a 2D projection image. This image is generated based on a 3D model using a Fresnel shader. To increase motivation, which is an important aspect of training, we included several game elements. We qualitatively evaluated our application with two neuroradiologists. Although they rated our implementation of the task as difficult due to the small image section, both participants emphasized the importance of this training. Even small changes that have been suggested can adjust the difficulty, leading to an appropriate training that could be integrated into the curriculum. The results also indicate that the included game elements are motivating and that the application in general has a high usability. The proposed immersive virtual reality application provides training for visuospatial ability in a concrete medical context. Due to gamification, fun, and motivation are increased, which are two important factors of training affecting the frequency of use and outcome.
Target Tracking in 4D Ultrasound using Localization Networks
Authors: Krause Cassandra , Wulff Daniel , Ernst Floris 
Published: September 2024

Abstract
In radiation therapy, breathing and other influences cause a constant movement of the tissue to be irradiated. Thus, a continuous position control is required which could be handled by the usage of 3D ultrasound imaging. For this purpose, two approaches for target tracking in 3D ultrasound (US) sequences of the liver are analyzed in this study. Therefore, an image-by-image localization of the target is performed using a deep localization network. A singletarget and a multiple-target approach are investigated where deep localization networks are trained for locating one specific and multiple specific targets, respectively. Training the networks and evaluating the tracking algorithm is performed on the basis of a labeled 3D US liver data set in 2-fold crossvalidation experiments. The single-target and multiple-target approaches performed comparable with a mean tracking error of 2.28±1.20mm and 2.23±1.28 mm, respectively. The proposed tracking algorithm is real-time capable with a mean runtime per 3D ultrasound image of 68ms.
Communication System Using Natural Language for Robotic Laparoscope Guidance
Authors: Pan Yan , Bernhard Lukas , Fan Cheng , Beckendorf Lukas , Wilhelm Dirk , Feußner Hubertus , Groh Georg 
Published: September 2024

Abstract
To help with the critical nurse staffing shortages in hospitals worldwide, robotic assistants are designed to handle frequently required tasks in the digital operating room (DOR), such as the guidance of the laparoscopic camera. To enable fluent collaboration between robots and clinicians, an intuitive and efficient communication interface is needed to allow for interaction using natural language. However, the demanding requirements of the surgical domain make it challenging to develop suitable solutions. A variety of different vocabulary or phrases may be used for expressing the same command. At the same time, surgical workflows may be highly dynamic - especially in emergency situations - and thus the system must be able to grasp the user’s intent both quickly and with high accuracy. This is especially true as only some clinicians may be authorized to request certain tasks, depending on their rank or field of expertise. To solve these challenges, our proposed communication system uses the fine-tuned deep learning model to recognize the speaker information, and the robot assistant takes action only when it detects the commands from the responsible clinician. Also, our proposed conversational functions enable the finetuned large language models to understand the current natural language command given previous command history. In this work, we present a communication system to recognize the speaking person and understand the intent of conversational commands quickly and accurately.
Characterization of Dynamic Gripping Force Feedback for Robot-Assisted Surgery
Authors: Schäfer Max B. , Riepe Sarah , Parenzan Matthias , Bauer Christian J. E. , Hotz Jonas , Meiringer Johannes G. , Weiland Sophie , Pott Peter P. 
Published: September 2024

Abstract
Haptic feedback of gripping forces during robotassisted surgery can benefit the surgical outcome by means of reduced forces applied to the tissue. A custom-designed haptic user interface allows to control four degrees of freedom of the instrument’s endeffector and to display gripping forces. System-centered evaluation is performed to assess its capability of displaying feedback with high mechanical bandwidth. In addition, the perception of gripping forces is evaluated using task-centered methods. Two tasks were performed by ten participants to assess the perceived feedback regarding size and stiffness of grasped objects. Maximum feedback forces of 4.3N and a mechanical bandwidth of 73.5 Hz are achieved. Tests with participants showed promising results regarding the discrimination of size and stiffness of grasped objects.
Towards examiner-independent reproducible abdominal ultrasound examinations
Authors: Baader Tobias , Nam Bach Thanh , Yavuz Sümeyra , Brand Lukas Klaus , Güler Beyda , Grupp Peter , Malek Nisar Peter , Hoffmann Tatjana , Pauluschke-Fröhlich Jan , Fröhlich Eckhart , Burgert Oliver 
Published: September 2024

Abstract
The proposed system aims at reproducibility in ultrasound follow-up examinations by storing the position of the ultrasound transducer in relation to acquired images. The system utilizes an electromagnetic tracking system. It includes a guidance feature to assist in placing the transducer correctly on the patient. Evaluation of the system involved technical accuracy tests on a phantom and accuracy tests on human subjects. The results showed that the technical accuracy of the system met the required criteria, but the transducer positioning error in realistic scenarios was above the threshold. Usability testing indicated potential benefits for medical training and provided suggestions for improving the user interface. Overall, the system shows promise for further development and can already be used for training ultrasound examinations.
Dynamic Torque Limitation vs Static Torque Limitation for Bone Screws in Pig Bone
Authors: Wilkie Jack , Richard Jordan , Joshi Aditya , McFarlane Zoe , Staiger Mark , Rauter Georg , Möller Knut 
Published: September 2024

Abstract
Correctly torquing bone screws is important to achieve good patient outcomes. An automated system has been previously proposed that may allow more objective torquing of bone screws. Here the system is tested vs. a static torque limit in pig bone. 5 screws were first inserted until stripping to calibrate the dynamic and static limits. Then 6 were inserted limited to 80% of the mean stripping torque. Then 7 were inserted using 80% of the dynamic model-predicted stripping torque. The pull-out strength of the dynamic and static insertions were compared and no statistically significant difference was found. Future work should consider at using larger screws and different bone samples, with more repetitions to try and obtain a statistically significant result.
Contactless Energy Supply for Medical Drill with Integrated Temperature Sensor
Authors: Knott Anna-Lena , Sanders Mark , Prinzen Tom , Klenzner Thomas , Schipper Jörg , Kristin Julia , Schmitt Robert H. 
Published: September 2024

Abstract
An atraumatic approach to the inner ear is an important goal in the future development of cochlear implant surgery, as the current surgical procedure for electrode insertion is highly invasive. To reduce invasiveness, minimally invasive surgical options are being explored, such as the insertion of one or more drill channels. Due to the proximity to critical structures, a temperature sensor is incorporated into the medical drill for process parallel temperature monitoring to prevent thermal damage. The temperature data is sent to the analysis hardware via Bluetooth BLE. This requires a power supply for the electronics on the drill. There are a number of limitations to the design of such a power supply. For one, the drill is rotating. Therefore, the energy generation must be contactless. Secondly, the energy generation should not depend on the rotation of the drill, so that the temperature can be measured even without the drill rotating and the rotational speed of the drill is not limited. In this paper, we propose a solution for a contactless energy transmission system (ETS) based on inductive coupling. Considering the dimensional limitations of attaching the electronics to the drill shaft, a multilayer PCB coil with multiple contacts for different number of turns is developed. The electrical circuit is simulated and the best settings are identified. The power supply is validated according to the predefined requirements. In the future, the medical drill will be built with the newly developed ETS. Sterilization and wear tests are performed to confirm the suitability of the drill with integrated temperature sensor for the operating room.
A Calibration Approach for Elasticity Estimation with Medical Tools
Authors: Grube S. , Neidhardt M. , Hermann A.-K. , Sprenger J. , Abdolazizi K. , Latus S. , Cyron C. J. , Schlaefer A. 
Published: September 2024

Abstract
Soft tissue elasticity is directly related to different stages of diseases and can be used for tissue identification during minimally invasive procedures. By palpating a tissue with a robot in a minimally invasive fashion force-displacement curves can be acquired. However, force-displacement curves strongly depend on the tool geometry which is often complex in the case of medical tools. Hence, a tool calibration procedure is desired to directly map force-displacement curves to the corresponding tissue elasticity.We present an experimental setup for calibrating medical tools with a robot. First, we propose to estimate the elasticity of gelatin phantoms by spherical indentation with a state-of-the-art contact model. We estimate force-displacement curves for different gelatin elasticities and temperatures. Our experiments demonstrate that gelatin elasticity is highly dependent on temperature, which can lead to an elasticity offset if not considered. Second, we propose to use a more complex material model, e.g., a neural network, that can be trained with the determined elasticities. Considering the temperature of the gelatin sample we can represent different elasticities per phantom and thereby increase our training data.We report elasticity values ranging from 10 to 40 kPa for a 10% gelatin phantom, depending on temperature.
Pose Measurement of the EndoWrist Round Tip Scissor Instrument with Optical Coherence Tomography
Authors: Schöne Sandra , Pol Nirmal , Kahrs Lueder A. 
Published: September 2024

Abstract
To automate surgical (sub-)tasks in robotic surgery, the knowledge of the exact pose of the instrument is mandatory. The application of Optical Coherence Tomography (OCT) to the problem of pose measurement appears promising due to its advantages of 3D imaging and micron-scale resolution. To investigate this, 175 image sequences of the EndoWrist Round Tip Scissor Tool were acquired with an OCT system. The images differ in the opening angles of the scissor blades and the rotation angles of the entire instrument about its central axis. These image sequences were further processed through computer vision methods of the individual images followed by point cloud generation. For pose estimation, an Iterative Closest Point algorithm was implemented to register the acquired point clouds to reference point clouds created from the instrument CAD file. The implemented algorithm was able to determine the opening angle with an overall error of 2∘ ± 1.3∘ and the rotation angle with a standard deviation between several runs of 0.6∘ ±2.8∘. However, the overall processing time of (39 ± 17)s on a standard PC leaves room for further investigations.
VR-based body tracking to stimulate musculoskeletal training
Authors: Neidhardt M. , Gerlach S. , Schmidt F. N. , Fiedler I. A. K. , Grube S. , Busse B. , Schlaefer A. 
Published: September 2024

Abstract
Training helps to maintain and improve sufficient muscle function, body control, and body coordination. These are important to reduce the risk of fracture incidents caused by falls, especially for the elderly or people recovering from injury. Virtual reality training can offer a cost-effective and individualized training experience. We present an application for the HoloLens 2 to enable musculoskeletal training for elderly and impaired persons to allow for autonomous training and automatic progress evaluation. We designed a virtual downhill skiing scenario that is controlled by body movement to stimulate balance and body control. By adapting the parameters of the ski slope, we can tailor the intensity of the training to individual users. In this work, we evaluate whether the movement data of the HoloLens 2 alone is sufficient to control and predict body movement and joint angles during musculoskeletal training.We record the movements of 10 healthy volunteers with external tracking cameras and track a set of body and joint angles of the participant during training. We estimate correlation coefficients and systematically analyze whether whole body movement can be derived from the movement data of the HoloLens 2. No participant reports movement sickness effects and all were able to quickly interact and control their movement during skiing. Our results show a high correlation between HoloLens 2 movement data and the external tracking of the upper body movement and joint angles of the lower limbs.
Intraoperative navigated ultrasound in posterior fossa surgery
Authors: Bopp Miriam , Saß Benjamin , Pojskic Mirza , Grote Alexander , Nimsky Christopher 
Published: September 2024

Abstract
High navigation accuracy is a prerequisite for tailored and safe tumor resections. However, in posterior fossa surgery, especially in the semi-sitting position, navigation is often considered to be non-useful due to limited accuracy caused by gravitational effects and brain-shift. To enable navigation in these surgical approaches intraoperative evaluation of accuracy and navigation update strategies are required. Navigated intraoperative ultrasound (iUS) might serve as valuable tool to quantify navigation accuracy and even update navigation to gain higher accuracy. Data of 23 patients (28 lesions) undergoing navigation supported surgery in the posterior fossa with application of navigated iUS including acquisition of a 3D iUS data set were evaluated retrospectively based on intraoperative ratings on accuracy and tumor segmentation based on preoperative magnetic resonance imaging (MRI) and iUS data. In nine cases (eleven lesions) navigation was rated “insufficient” leading to a navigation update by manually outlining the tumor volumes within the iUS data set, whereas in all other cases navigation accuracy was rated “sufficient” with no need for further updates. Tumor volume was comparable between MRIand iUS-based segmentation. IUS was successfully applied in navigation-supported surgery in the posterior fossa in the semisitting position enabling continuous navigation-support throughout surgery by evaluation of navigation accuracy and navigation updates, supporting safe maximum tumor resection.
The potential antibacterial effects of tea polyphenols
Authors: Shil Aparna , Banerjee Arnab , Roy Jayati , Pal Manisha , Das Debasmita , Paul Rajarshi , Maji Bithin Kumar , Sikdar Mausumi 
Published: September 2024

Abstract
The current review of tea and its parts is focused on the antibacterial properties, considering the possible applications and modes of action against bacterial illnesses. It shows the backdrop of antibiotic resistance and the huge demand for antibacterial treatments out there. From the interactions with bacterial components, the theory presented that tea polyphenols are antibacterial and therefore would be a substitute or supplementary therapy to the usual antibiotics. The study highlighted the role of tea polyphenols as potential antibacterial compounds that may interact with various bacterial components and different polyphenolic compounds occurring in tea. Future research directions may be directed toward testing more plant-based sources for antibacterial properties, in vivo validation of the studies, and possible synergistic effects with classical antibiotics. By addressing the controversies and disagreements involved, the present understanding of the topic of tea’s antibacterial properties and enable the entry of new ways for fighting microorganisms resistant to antibiotics. In conclusion, this review adds to the growing body of evidence regarding the antimicrobial properties of tea and emphasizes the need for further studies that will allow the full exploitation of its therapeutic potential for countering the rising problem of antibiotic resistance in healthcare.
The effects of modal value and imperative mood on self-predicted compliance to health guidance: the case of COVID-19
Authors: Vilar-Lluch Sara , McClaughlin Emma , Adolphs Svenja , Knight Dawn , Nichele Elena 
Published: September 2024

Abstract
Health messaging is effective if it achieves audience adherence to guidance. Through the lens of Systemic Functional Linguistics, we examine the expression of obligation in poster-based health campaigns (4 posters) employed during the COVID-19 pandemic in the UK by considering whether differences in grammatical mood and modality values impact on public compliance toward the message content. Effects of mood and modality variations are examined through a quantitative-cum-qualitative analysis of results from a representative survey (N = 1,089), which included closed questions on self-predicted compliance to health guidance and open questions on the respondents’ understanding of messaging. The quantitative results favour medium values of obligation (“should” vis-à-vis “must”) and directives in declarative mood for self-efficacy messages, and expressions of certainty when the need to take action to prevent negative outcomes is conveyed. The qualitative results show that, communication context and linguistic features being equal, message types (i.e., self-efficacy, moralising, fear appeals) and visual cues prevail in conditioning public reception. Moreover, since directives employing modality allow for speakers’ inclusion among the targeted addressees, they appear to offer more favourable outcomes than those in the imperative mood. This study provides empirical insights into the effects of modality and mood on health guidance compliance.