This paper presents SnipFlow, a workflow for knowledge-based analysis of single nucleotide polymorphisms in personalised medicine. SnipFlow combines structured knowledge derived from the genome sequence with unstructured literaturebased knowledge in a common data model and presents the results transparently via a knowledge management system. By integrating Genomic Foundation Models (GFMs), the workflow can be extended to predict functional effects, pathogenicity and context-dependent relationships even without existing database entries. The paper shows that GFMs do not replace classical approaches, but can complement them in a targeted manner, and outlines future work on the integration and evaluation of different models in the SNP analysis process.

Genomic applications like gene expression analysis or metagenomics are increasingly useful tools for laboratory diagnostics as they provide biomarkers for physiological and pathophysiological states. Artificial intelligence can help to analyze, visualize and interpret results obtained by genomic instruments. However, most software solutions for the analysis of genomic data are not suitable for laboratory use as they face several legal and technical challenges. Therefore, we propose a conceptual architecture named “GenDAI” that combines artificial intelligence and genomic applications while taking into account the challenges of laboratory diagnostics. GenDAI is based on two previous conceptual models, one for gene expression analysis and one for metagenomics. An upcoming prestudy will explore more detailed regulatory and technical requirements and gather use cases from laboratory practice, which will allow practical validation of the proposed solution in the future.

Over the last decades, cars have become more and more prevalent and play an important role in our modern society. With the continuously growing number of vehicles, also the probability for road accidents and traffic congestions increases. Car2X communication in traffic infrastructure is a key enabler of many technologies yet to come, such as autonomous driving. Allowing and enabling the exchange of data from various cars and their respective environment provides amongst other possibilities - increased road safety and congestion avoidance. Several standards already exist which define the structure of messages and how they have to be signed - with elliptic curve based signatures. This signature is to be verified, ensuring authenticity and integrity so no “malicious” car can i.e. impersonate an emergency vehicle or sham an accident. However, validating an elliptic curve signature in such a field of application requires appropriate performance to ensure necessary throughput. In other words, cars and roadside equipment must be up to the task to process messages fast enough to prevent any harm, like traffic lights being switched too late or cars not being informed in time of an accident ahead. This paper shall show typical performance for out of the box embedded hardware, likely to be used for such equipment. Furthermore it will compare OpenSSL and mbedTLS regarding their performance and it will give optimization advices to maximize verification throughput.

The purpose of teaching is to facilitate learning and to encourage the students to perceive content more effectively. Considering gender and diversity aspects, this goal remains the same with the additional challenge to take into account possible differences in learning styles caused by gender roles or different educational backgrounds. This paper describes design of the laboratory for teaching electric mobility concepts at the University of Applied Sciences (UAS) Technikum Wien within Unterrichtslabor fuer Elektromobilitaet und Assistive Technologien (ULEA), educational laboratory for electric mobility and assistive technologies research project. The study examines Bachelor's degree students of the electric vehicles specialization within Transport and Environment study program which currently predominantly consists of male students. The particular focus of the proposed laboratory is gender and diversity inclusiveness of students with different educational backgrounds. The described approach is a first step within UAS Technikum Wien towards gender-inclusive education in particular fields of engineering and science. The didactic concepts can be further reused for the design of further courses and laboratory exercises.

In order to achieve a continous lateral acceleration profile for moving objects - like robots - clothoids as a part of the pathplanning are important. This paper describes the implementation of a local planning algorithm for a partly autonomnous wheelchair with clothoids as integral part. Further the integration into the ROS framework as main aspects of the development and limitations of the algorithm are detailed. Finally, simulation results of a comparison between the developed algorithm and the default algorithm provided by the ROS framework are shown.

Nowadays, multiple sensor nodes are often incorporated into technical solutions forming distributed sensor systems. Herein, advanced detection mechanisms are often realised by using data from multiple sensors in such a network. However, sometimes active sensors - like Time-Of-Flight cameras - interfere with each other. To solve this problem and assist in data correlation, a clock synchronisation method, like IEEE1588, can be adapted. Although, if the sensor nodes have not been developed with this in mind they have to be refitted. An optimal refit of a system is the one that needs the least modifications necessary to achieve the desired goal. This paper lists the impact - in terms of jitter and asymmetry - that different components of a system have on IEEE1588 synchronisation precision and methods to eliminate or alleviate jitter and asymmetry sources in order to enable respective sensor fusion.

MOTIVATION: While the manually curated Gene Ontology (GO) is widely used, inferring a GO directly from -omics data is a compelling new problem. Recognizing that ontologies are a directed acyclic graph (DAG) of terms and hierarchical relations, algorithms are needed that: analyze a full matrix of gene-gene pairwise similarities from -omics data; infer true hierarchical structure in these data rather than enforcing hierarchy as a computational artifact; and respect biological pleiotropy, by which a term in the hierarchy can relate to multiple higher level terms. Methods addressing these requirements are just beginning to emerge-none has been evaluated for GO inference. METHODS: We consider two algorithms [Clique Extracted Ontology (CliXO), LocalFitness] that uniquely satisfy these requirements, compared with methods including standard clustering. CliXO is a new approach that finds maximal cliques in a network induced by progressive thresholding of a similarity matrix. We evaluate each method's ability to reconstruct the GO biological process ontology from a similarity matrix based on (a) semantic similarities for GO itself or (b) three -omics datasets for yeast. RESULTS: For task (a) using semantic similarity, CliXO accurately reconstructs GO (>99% precision, recall) and outperforms other approaches (<20% precision, <20% recall). For task (b) using -omics data, CliXO outperforms other methods using two -omics datasets and achieves ∼30% precision and recall using YeastNet v3, similar to an earlier approach (Network Extracted Ontology) and better than LocalFitness or standard clustering (20-25% precision, recall). CONCLUSION: This study provides algorithmic foundation for building gene ontologies by capturing hierarchical and pleiotropic structure embedded in biomolecular data.

Compared to other university programs only a small percentage of the students chooses to study embedded systems or electronics engineering. This paper presents some statistics on the current situation and names some reasons for this fact. Furthermore, the fact that the majority of the students are male students is discussed, and some possibilities to increase the number of female students in these courses are presented. Arrangements which can be taken to increase the motivation of students and how potential students can be motivated to choose such a study program are also discussed in this paper. To get an idea of what is interesting to potential students and to students attending an embedded systems course, a questionnaire was developed. The questionnaire and the results will be presented in this paper. Based on the answers of the participants, some suggestions on how the hands-on examples can be designed are introduced. Furthermore some examples which draw much attraction to potential students are introduced. These examples suit perfect for an exhibition on public relation activities to acquire more students.