Search results

A sensitive and rapid enzyme-linked immunosorbent assay for simultaneous quantitation of free and IgA-complexed human protein HC was developed with monoclonal murine antibodies. The total amount of protein HC (free plus IgA-complexed) was measured by a competitive procedure while the protein HC-IgA complex was quantitated by a sandwich enzyme immunoassay. The amount of free protein HC was then obt

When selecting for monoclonal antibodies of a desired affinity, affinity chromatography can be a feasible alternative. This is of particular interest when low affinity monoclonal antibodies (dissociation constant (Kd) > 10(-4) M) are screened, as they are not easily recognised by traditional immunoassay procedures. In this study we have evaluated this approach by monitoring low affinity monoclonal

The ERBB2 gene encodes a receptor tyrosine kinase also known as HER2. The gene is amplified and overexpressed in one-fifth of breast carcinomas; patients with such tumors benefit from targeted treatment with trastuzumab or other drugs blocking the receptor. In addition, ERBB2 has been shown to be amplified and/or overexpressed in a variety of other malignancies. Notably, both alveolar and embryona

Autonomic computing systems adapt themselves thousands of times a second, to accomplish their goal despite changing environmental conditions and demands. The literature reports many decision mechanisms, but in most realizations a single one is applied. This paper compares some state-of-the-art decision making approaches, applied to a self-optimizing autonomic system that allocates resources to a s

Spleen cells from WF rats immunized to allogeneic lymphoid cells or to syngeneic colon carcinomas and from unimmunized controls were separated by countercurrent distribution in aqueous two-phase systems. The cells were assayed for cytotoxicity to allogeneic fibroblasts or syngeneic colon carcinoma cells and to syngeneic fibroblasts in a 24-hr 51Cr-release assay. Cells from immunized rats which sel

Abstract in UndeterminedIn this paper we describe and reflect upon a novel methodology using attention cards to facilitate communication, concentration and creativity in a user requirement workshop with seniors. Previous research indicates that seniors tend to lose focus and start cross talking during workshops, which results in broad and shallow findings. However, our findings indicate that the u

Identifying optimal inspection and repair strategies for offshore jacket structures is a challenging task. We present an approach, which is based on recent developments in the field of risk-based operation and maintenance planning at the structural system level. The approach utilizes heuristics to define inspection and repair strategies at the system level and to reduce the search space of possibl

Over the last decade, Unmanned Aerial Vehicles (UAVs) have been used for monitoring construction and operation of civil infrastructure, as well as industrial facilities and power plants. Their operational simplicity along with time-and-cost-related benefits have already rendered them attractive for structural surveying. Nevertheless, the field of UAV research currently lacks a targeted employment

A software prototype is developed for assessing and updating the reliability of single-cell prestressed concrete box girders subjected to chloride-induced reinforcement corrosion. The underlying system model consists of two integrated sub-models: a condition model for predicting the deterioration state of the box girder and a structural model for evaluating the overall system reliability. The cond

Mesenchymal stromal cell (MSC)-based therapies for inflammatory diseases rely mainly on the paracrine ability to modulate the activity of macrophages. Despite recent advances, there is scarce information regarding changes of the secretome content attributed to physiomimetic cultures and, especially, how secretome content influence on macrophage activity for therapy. hLMSCs from human donors were c

Pixel classification of mixed pixels in overlapping regions of remote sensing images is a very challenging task. Efficiency and detection of uncertainty are always the key ingredients for this task. This paper proposes an approach for pixel classification using Shannon's entropy-based fuzzy distance norm. Unsupervised clustering is used to group the objects based on some similarity or dissimilarit

Stellar ages are a crucial component to studying the evolution of the Milky Way. Using Gaia DR2 distance estimates, it is now possible to estimate stellar ages for a larger volume of evolved stars through isochrone matching. This work presents [M/H]-age and [α/M]-age relations derived for different spatial locations in the Milky Way disc. These relations are derived by hierarchically modelling the

Most neoplasia-associated gene fusions are formed through the fusion of the 5′-part of one gene with the 3′-part of another. We here describe a unique mechanism, by which a part of the KMT2A gene through an insertion replaces part of the YAP1 gene. The resulting YAP1::KMT2A::YAP1 (YKY) fusion was verified by RT-PCR in three cases of sarcoma morphologically resembling sclerosing epithelioid fibrosa

Contemporary entrepreneurial education (EE) has global reach and impact, with a growing number of entrepreneurship courses, specializations, and degrees in all parts of the world. There is no longer a question of the significance and demand for EE in the higher education system. At the same time, the interest in scientific knowledge and proven experience of “what works” has accelerated, resulting

Bridges are an important part of the traffic infrastructure, which are subjected to high safety requirements and economic consequences in case of functionality failure. Therefore, it is needed to consider potentially substantial direct and indirect risks during service life, i.e., the need for risk and robustness analyses. Over the last decades, various quantitative performance criteria have been

The manual execution of failure mode and effects analysis (FMEA) is time-consuming and error-prone. This article presents an approach in which large language models (LLMs) are integrated into FMEA. LLMs improve and accelerate FMEA with human in the loop. The discussion looks at software tools for FMEA and emphasizes that the tools must be tailored to the needs of the company. Our framework combine