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Influence of preoperative Music-guided Resonance Breathing on Anxiety and Stress before Loop Conisation of the Cervix Uteri
No full textBy means of a randomized controlled pilot study the influence of preoperative 15-minute Music-guided resonance breathing (MGRB) on subjective psychophysical strain before and during the surgical procedure of conisation for cervical dysplasia is systematically investigated. Primary research questions were directed at the effects of MGRB on anxiety (measured by STAI and VAS), stress (measured by salivary cortisol) and pain (measured by short-form McGill Pain Questionnaire) before and after surgery compared to treatment as usual(TAU). Secondary research questions addressed whether MGRB increases patient satisfaction with the procedure, any differences in medical outcomes, and MGRB's suitability for day-to-day clinical practice. A total of 22 participants were included in the study and distributed to two groups by means of block-wise pseudorandomization. In line with systematic reviews, significant reduction in the current anxiety level, measured with STAI-S at the beginning of surgery, and a lower cortisol level at the end of the surgery in the intervention group. The other measurements showed no significant outcomes.
Results are limited by the small sample size. However, they give reason to recommend a follow-up study with measurement of the respiratory rate as a possible active factor. Additionally, the effectiveness of MGRB should be compared to simply listening to slow tempo music
Your voice matters!—(unintended) exclusion practices in sensitive research and older people
No full textThis chapter outlines and discusses the need for adequate representation of vulnerable populations in sensitive qualitative research. To address the ethics of representation, we use the example of older people (aged 65+) and how they are represented in research to engage with critical issues such as the heterogeneity of old age, potential vulnerabilities, and intersecting categories such as gender, disability, and culturally and linguistically diverse backgrounds. In this context, we also approach ‘care’ as both a sensitive topic and a practice. We draw on five case studies in the areas of gerontechnology (the study of technology and ageing) and later life care to advance an understanding of practices of representation in sensitive settings and their interplay with processes of inclusion/exclusion. These case studies pertain to participatory research based on co-design or co-creation (that is, a participatory method to design and create, for example, technologies collaboratively with end-users) and focus on gender, race and ethnicity, disability and accessibility, care, and representational issues. We conclude by showing that it takes continuous effort as well as constant researcher reflexivity on stereotypes, situatedness, and research practices to adequately represent the voices of research participants
A Vision-Guided Approach to Pick-and-Place Robotics: From Assembly Drawings to Industrial Assembly Automation
No full textVision-guided robotic systems play a key role in industrial automation, particularly in flexible pick-and-place tasks. We present a modular approach that integrates automatic data extraction of 2D assembly drawings, object recognition, automatic robotic part placement, and augmented reality for quality inspection. The system combines a YOLOv8-based segmentation pipeline with classical shape-matching techniques to detect, identify, and align components during assembly. We apply a hybrid method to interpret assembly drawings that merge traditional computer vision with neural segmentation masks. The robotic setup features a 6-DOF arm controlled via Robot Operating System (ROS), with overhead cameras for object localization. This paper presents ongoing work. Preliminary results indicate improved segmentation accuracy using AI-based methods for extracting the foundational data from the 2D assembly drawings. Future work will focus on enhancing grasp and path planning, increasing placement precision, and improving the robustness of part detection. Additionally, we aim to generalize the system to previously unseen assembly plans and expand the feature extraction capabilities for complex assembly drawings
Digital assistants for outpatient care: benefits of intelligent connected assistive systems for caregivers and elderly people
No full textDemographic change and the growing shortage of skilled caregivers demand innovative solutions for outpatient elderly care. As part of the CARE REGIO project, this study explored the potential and challenges of digital assistive systems for fall prevention in home care. In a five weeks user study, 22 care recipients used individually selected assistive technologies (e.g., smartwatch, sleep mat, blood pressure monitor) connected to a data integration platform, allowing caregivers to incorporate health data into their routines. The evaluation combined qualitative interviews and quantitative surveys, including the System Usability Scale (SUS). Results showed high acceptance among care recipients (SUS score: M = 78.6). Caregivers saw benefits in the documentation of vital signs but noted challenges in integrating the system into daily workflows. The study highlights that successful implementation of assistive systems into outpatient care depends on user-friendly design, customization, training, and integration into care routines. It offers practical recommendations and hypotheses for further research, supporting the real-world adoption of digital solutions in outpatient care
An der Schwelle zur Pflegebedürftigkeit – ein Vergleich von älteren Menschen mit und ohne Pflegegradempfehlung in Bayern
No full textHintergrund: Bislang wenig von der Forschung untersucht sind Personen, die bei Pflegebegutachtungen gemäß § 14 SGB XI keinen Pflegegrad (PG) erhalten haben – obgleich Informationen zu dieser Personengruppe enormes präventives Potenzial bergen. Der Beitrag zielt auf einen Vergleich von älteren Menschen mit und ohne PG Empfehlung, hinsichtlich soziodemografischer Merkmale, der Selbstständigkeit in verschiedenen Lebensbereichen sowie hinsichtlich medizinischer Diagnosen. Methodik: Die Auswertung basiert auf n= 122.478 Pflegeerstbegutachtungen von Erwachsenen über 50 Jahre, welche durch den Medizinischen Dienst Bayern 2019 durchgeführt wurden. Mittels deskriptiver Analysen werden Personen mit und ohne PG-Empfehlung verglichen
Mehrwert von sozialraumbezogenen digitalen Plattformen? – Zur Einbindung von Pflegefachpersonen über Führungskräfte
No full textDigitale Plattformen stärken das Management von Schnittstellen und den Austausch zwischen professionellen Akteur:innen in einem Sozialraum. Ein Projekt beforscht den Einsatz digitaler Plattformen in verschiedenen Einsatzfeldern der professionellen ambulanten Versorgung unter besonderer Berücksichtigung der Akzeptanz von Führungskräften und Pflegefachpersonen. Adressiert werden die Einschätzung der Pflegepraxis zu ihrer Digitalkompetenz und die Haltung zu digitalen Plattformen als Instrument zur Förderung des Schnittstellenmanagements sowie des Austauschs zwischen professionellen Akteur:innen innerhalb eines Sozialraums. Als entscheidender Einflussfaktor auf eine nachhaltige Nutzung wird dabei die Kommunikation zwischen leitenden und mitarbeitenden Pflegefachpersonen fokussiert
Modeling and Simulation of Automotive FMCW RADAR Sensor for Environmental Perception
No full textFrequency-modulated continuous wave (FMCW) radio detection and ranging (RADAR)
sensors have become indispensable technologies for automated driving systems (ADS) due to their reliability in adverse weather conditions and their ability to simultaneously measure the distance to objects, relative radial velocity, and azimuth and elevation angles. The automotive industry has increasingly considered simulation-based testing of autonomous vehicles due to safety, cost, and time constraints. This raises the need for virtual environmental perception sensors that provide results close to reality. This work presents the design and structure of a ray-tracing-based, high-fidelity, tool-independent baseband FMCW RADAR sensor model. The RADAR sensor model is developed using the standardized functional mock-up interface (FMI) and open simulation interface (OSI) and is integrated into the co-simulation environment of
commercial software to demonstrate its exchangeability. The RADAR FMU model incorporates a multiple input and multiple output (MIMO) 2D linear spacing virtual antenna array, non-coherent integration (NCI) of range-Doppler maps (RDMs) over receiver antennas, a constant false alarm rate (CFAR) to obtain an interim object detection list, and density-based spatial clustering of applications with noise (DBSCAN) to provide a single detection per object. The presented RADAR FMU model also includes RADAR sensorspecific impairments such as phase noise (PN), radio frequency (RF) group delay, phase imbalance (PI) of transmitter antennas, mixer non-linearity including third-order intermodulation products (IM3), and noise figure (NF) of receiver antennas. Additionally, this work presents a methodology for plausibly verifying the RADAR sensor model at the raw data level (range map (RM) and RDM) and object detection list level. The simulation results are compared with real sensor measurements to validate the modeling of sensor-specific impairments. The mean absolute percentage error (MAPE) metric is used to quantify the difference between the simulation and real sensor measurements. The results demonstrate that the complete signal processing toolchain and sensor-specific impairments of the RADAR sensor must be considered to achieve simulation results that closely resemble those of the real sensor
Innovative Stanzbiegetechnik – Pneumatische Inline-Messtechnik zur Verschleißdeduktion
No full textDer Artikel und die Präsentation beschreiben die Überprüfung/Detektion/Analyse eines Stempel- bzw. Aktivelementverschleißes im µm-Bereich als mögliches Online-Verfahren ohne Demontage des Stempels bzw. Aktivelements.
Er wird die Funktionalität des pneumatische Messverfahrens gezeigt und dessen mögliche Automatisierbarkeit
KI praktisch anwenden - Step by Step zu deinem Chatbot!
No full textÜberblick
Fragst du dich, wie Chatbots funktionieren und was das Besondere an generativen KI-Chatbots wie ChatGPT ist? In diesem Kurs findest du es heraus – während du deinen eigenen Chatbot entwickelst! Durch „Learning by Doing“ wendest du die Theorie direkt praktisch an und gewinnst ein intuitives Verständnis. Lass dich auf eine spannende Lernerfahrung ein!
Welche Inhalte erwarten mich?
- Grundlagen des Natural Language Processing (NLP) und von und KI-Agenten
- Anwendungen Generativer Künstliche Intelligenz
- Low-Code-Entwicklung, Internet-Grundlagen und APIs
- Entwicklung einer Chatbot-Anwendung und viele praktische Beispiele
Was werde ich erreichen?
Nach Abschluss des Kurses kann ich...
- Chatbots und KI-Agenten verstehen und entwickeln – Fähigkeit, interaktive KI-nwendungen zu konzipieren und umzusetzen.
- Generative Künstliche Intelligenz anwenden – Nutzung von Modellen wie GPT zur automatisierten Text- und Inhaltsgenerierung.
- Mit einer Low-Code-Plattform entwickeln – Praktische Erfahrung mit der Erstellung von KI-Anwendungen ohne tiefgehende Programmierkenntnisse.
- Grundlagen des Internets und APIs verstehen – Verständnis für Web-Technologien und API-Schnittstellen zur Integration von KI-Anwendungen
Einsatz digitaler Schatten in der Teilefertigung
No full textDie virtuelle Inbetriebnahme gewinnt zunehmend an Bedeutung, doch das Potenzial der Modelle für Optimierung und Wartung wird noch nicht ausgeschöpft. Der Beitrag beleuchtet die technische Umsetzung zur Nutzung der Modelle als digitale Schatten und zeigt praxisnahe Anwendungen. Herausforderungen wie die Integration realer Betriebsdaten unter Wahrung des IP-Schutzes werden beschrieben. Die Ergebnisse unterstreichen die Bedeutung digitaler Schatten als Schlüsseltechnologie für die digitale Transformation und zur Stärkung der Wettbewerbsfähigkeit.Virtual commissioning is becoming increasingly important, but the potential of the models for optimization and maintenance has not yet been fully realized. This article highlights the technical implementation of extending the models to digital shadows and explores practical applications. Challenges such as integrating real operational data while maintaining IP protection are described. The results emphasize the importance of digital shadows as a key technology for digital transformation and enhancing competitiveness