To enable accurate and reproducible dosimetry for biological sample irradiation in a 137Cs irradiator, routine quality assurance of the dose rate and isodose distributions should be considered. Our previous work demonstrated a means for accurate dose rate quality assurance and for quality assurance of isodose distributions of non-rotational samples. This work presents a means to accurately and cost effectively measure dose distributions within a 137Cs irradiator using rotational geometry, which geometry represent a more typical use of these irradiators. A simple apparatus was developed to hold radiochromic film and was constructed of polymethyl methacrylate. The rotational quality assurance device allowed the comparison of measured radiochromic film vs. manufacturer provided isodose distributions. A good agreement was discovered between the two data sets along the central vertical axis of rotation in the 137Cs irradiator, but a 40-50% smaller 100% isodose region in the horizontal direction. These findings may lead to limiting the overall size of a sample capable of being uniformly irradiated by the 137Cs irradiator at this research institution. The authors propose the construction and use of a simple rotational quality assurance device for routine quality assurance of 137Cs irradiators.
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http://dx.doi.org/10.1097/HP.0b013e31823c9671 | DOI Listing |
Environ Manage
January 2025
United States Department of Agriculture, Animal Plant Health Inspection Service, Wildlife Services, Fort Collins, CO, USA.
The great horned owl (Bubo virginianus) is a generalist predator that inhabits wide-ranging territories that are relatively stable throughout the year. These owls are also involved in a variety of human-owl conflicts, including killing of domestic poultry, predating colonially nesting seabirds and shorebirds, and pose a hazard to safe aircraft operations. Managing these conflict situations presents unique challenges as great horned owls are nocturnally active and occupy a wide range of habitats.
View Article and Find Full Text PDFSensors (Basel)
January 2025
Department of Computer Science and Systems Engineering, Faculty of Information and Communication Technology, Wrocław University of Science and Technology, 50-370 Wrocław, Poland.
The distributed nature of IoT systems and new trends focusing on fog computing enforce the need for reliable communication that ensures the required quality of service for various scenarios. Due to the direct interaction with the real world, failure to deliver the required QoS level can introduce system failures and lead to further negative consequences for users. This paper introduces a prediction-based resource allocation method for Multi-Access Edge Computing-capable networks, aimed at assurance of the required QoS and optimization of resource utilization for various types of IoT use cases featuring adaptability to changes in users' requests.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Zhejiang HOUDAR Intelligent Technology Co., Ltd., Hangzhou 310023, China.
In industrial contexts, anomaly detection is crucial for ensuring quality control and maintaining operational efficiency in manufacturing processes. Leveraging high-level features extracted from ImageNet-trained networks and the robust capabilities of the Deep Support Vector Data Description (SVDD) model for anomaly detection, this paper proposes an improved Deep SVDD model, termed Feature-Patching SVDD (FPSVDD), designed for unsupervised anomaly detection in industrial applications. This model integrates a feature-patching technique with the Deep SVDD framework.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Department of Economic and Medical Informatics, University of Lodz, 90-214 Lodz, Poland.
: The certification of hospitals as colorectal cancer centers aims to improve treatment quality, but evidence supporting its effectiveness remains limited. This study evaluated the impact of certification on treatment outcomes for rectal cancer patients in Germany. : We conducted a retrospective analysis of 14,905 patients with primary rectal cancer (UICC Stages I-III) treated at 271 hospitals.
View Article and Find Full Text PDFAnaesthesiologie
January 2025
Abteilung für Anästhesie und operative Intensivmedizin, Krankenhaus Vilshofen, Vilshofen, Deutschland.
Background: The electronic cognitive aid for emergencies in anesthesia (eGENA) is an app that offers digital support in anesthesiological emergency situations as a cognitive aid tool via checklists for memory and making decisions. The eGENA was published by the German Society of Anesthesiology and has been implemented in the emergency management of the anesthesiological team of the clinic in Potsdam, Germany.
Objective: The primary endpoint was to observe the influence of eGENA on the anesthesiological emergency management on the subjective feeling of assurance as well as on quality of treatment and, therefore, patient safety.
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