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Franke, Karl R.,Crowgey, Erin L. Korea Genome Organization 2020 Genomics & informatics Vol.18 No.1
Advancements in next generation sequencing (NGS) technologies have significantly increased the translational use of genomics data in the medical field as well as the demand for computational infrastructure capable processing that data. To enhance the current understanding of software and hardware used to compute large scale human genomic datasets (NGS), the performance and accuracy of optimized versions of GATK algorithms, including Parabricks and Sentieon, were compared to the results of the original application (GATK V4.1.0, Intel x86 CPUs). Parabricks was able to process a 50× whole-genome sequencing library in under 3 h and Sentieon finished in under 8 h, whereas GATK v4.1.0 needed nearly 24 h. These results were achieved while maintaining greater than 99% accuracy and precision compared to stock GATK. Sentieon's somatic pipeline achieved similar results greater than 99%. Additionally, the IBM POWER9 CPU performed well on bioinformatic workloads when tested with 10 different tools for alignment/mapping.
Methodology: workflow for virtual reposition of mandibular condyle fractures
Jan Matschke,Adrian Franke,Olufunmi Franke,Christian Bräuer,Henry Leonhardt 대한악안면성형재건외과학회 2023 Maxillofacial Plastic Reconstructive Surgery Vol.45 No.-
Background Even though mandibular condyle fractures have a high clinical relevance, their treatment remains somewhat challenging. Open reduction and internal fixation are difficult due to narrow surgical approaches, poor overview during reduction, and a possible risk of facial nerve damage. In times of technical endeavors in surgery, there is a trend towards the usage of stable CAD-CAM-implants from additive manufacturing or titanium laser sintering. Up until now, there have not been any reports of fracture treatment of the mandibular condyle using this technique. Results and conclusion We present a workflow for virtual repositioning of the fractured mandibular condyle, to manufacture patient-specific implants for osteosynthesis with the intention of use of resorbable metal alloys in the future.
( Reviewed By Michael Franke ),( Maria Aloni ) 서울대학교 인지과학연구소 2012 Journal of Cognitive Science Vol.13 No.2
This squib gives a critical review of the monograph entitled Conflicts in Interpretation (Hendriks et al., 2010) written by Petra Hendriks, Helen de Hoop, Irene Kramer, Henriette de Swart and Joost Zwarts, which was published in 2010 by Equinox Publishing, London. After sketching the relevant background of optimality theoretic approaches to semantics and pragmatics, we give a detailed summary of the contents of this book, discuss its merits and mention a few critical issues that, we feel, future research in this tradition may wish to address more carefully.
Stand-alone ClpG disaggregase confers superior heat tolerance to bacteria
Lee, Changhan,Franke, Kamila B.,Kamal, Shady Mansour,Kim, Hyunhee,Lunsdorf, Heinrich,Jager, Jasmin,Nimtz, Manfred,Trč,ek, Janja,Jansch, Lothar,Bukau, Bernd,Mogk, Axel,Romling, Ute National Academy of Sciences 2018 PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF Vol.115 No.2
<P><B>Significance</B></P><P>Severe heat stress causes massive protein loss by aggregation ultimately causing cell death. Cellular survival relies on protein disaggregation mediated by the Hsp70-ClpB (Hsp100) bichaperone system in most bacteria. <I>Pseudomonas aeruginosa</I> additionally codes for two stand-alone ClpG disaggregases, which had been acquired by horizontal gene transfer by the species and most abundant clone C strains, respectively. These ClpG disaggregases largely contribute to the resolution of protein aggregates to confer superior heat tolerance partially replacing the DnaK-ClpB system.</P><P>AAA+ disaggregases solubilize aggregated proteins and confer heat tolerance to cells. Their disaggregation activities crucially depend on partner proteins, which target the AAA+ disaggregases to protein aggregates while concurrently stimulating their ATPase activities. Here, we report on two potent ClpG disaggregase homologs acquired through horizontal gene transfer by the species <I>Pseudomonas aeruginosa</I> and subsequently abundant <I>P. aeruginosa</I> clone C. ClpG exhibits high, stand-alone disaggregation potential without involving any partner cooperation. Specific molecular features, including high basal ATPase activity, a unique aggregate binding domain, and almost exclusive expression in stationary phase distinguish ClpG from other AAA+ disaggregases. Consequently, ClpG largely contributes to heat tolerance of <I>P. aeruginosa</I> primarily in stationary phase and boosts heat resistance 100-fold when expressed in <I>Escherichia coli</I>. This qualifies ClpG as a potential persistence and virulence factor in <I>P. aeruginosa</I>.</P>
Strategies for wire arc additive manufacturing of thin walls and overhangs
Jakub Slavíček,Jakub Franke,Jan Jaroš,Daniel Koutný 대한기계학회 2023 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.37 No.11
In recent decades, additive manufacturing has become a widely discussed topic. Wire arc additive manufacturing (WAAM) is an example of additive manufacturing based on direct energy deposition. The core principle of this technology is depositing filler material layer by layer using electric arc welding. Most additive technologies face manufacturing limits in the form of overhangs and residual stresses, and WAAM is no exception. This paper deals with wire arc additive manufacturing and focuses on production strategies for thin walls and overhangs. The article describes the influence of production strategies on residual stresses and production accuracy. Five different strategies for thin wall production were proposed and verified, and overhangs were produced. Results show that the position of the beginnings and ends of the weld bead is crucial for production accuracy and residual stresses. Suitable strategies to produce overhangs fabricated with low angular deviation and sufficient surface quality were identified.
Adaptive Local Model Networks with Higher Degree Polynomials
Oliver Banfer,Marlon Franke,Oliver Nelles 제어로봇시스템학회 2010 제어로봇시스템학회 국제학술대회 논문집 Vol.2010 No.10
A new adaptation method for local model networks with higher degree polynomials which are trained by the polynomial model tree (POLYMOT) algorithm is presented in this paper. Usually the local models are linearly parameterized and those parameters are typically adapted by a recursive least squares approach. For the utilization of higher degree polynomials a subset selection method, which is a part of the POLYMOT algorithm, selects and estimates the most significant parameters from a huge parameter matrix. This matrix contains one parameter wi,nx for each input u<SUP>l</SUP>p up to the maximal polynomial degree and for all the combinations of the inputs. It is created during the training procedure of the local model network. For the online adaptation of the trained local model network only the selected parameters should be used. Otherwise the local model network would be too flexible and the idea of subset selection would be lost. Therefore the presented adaptation method generates at first a new parameter matrix with the selected and most significant parameters which are unequal to zero. Afterwards the local model parameters can be adapted with the aid of a standard recursive least squares method.