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The paper at hand investigates the interrelation of automation and collaboration in digital construction processes. Labor shortage, demographic change, and a deficit in productivity motivate automation in construction. While the automation of single tasks is on its way, there is a lack of collaboration between automated equipment and robots along the digital construction process. To foster the development of collaborating robots, definitions and classification criteria for automation and collaboration activities are given. With these criteria at hand, it is possible to classify scientific examples from literature. On top of that, the paper introduces a prototyping framework for automated and collaborative equipment. The framework is thoroughly tested in an earthworks case study consisting of automated and collaborative excavation and compacting of an area. Through the collaboration of an automated excavator and vibratory plate, it is possible to simultaneously execute the ‘excavation’ and ‘compaction’ task, speeding up the overall earthworks process by a factor of almost two. Along with a higher productivity, the high degree of automation allows for safer work, as less workers are exposed to dangerous workspaces and the quality increases through continuous quality checking and integrated documentation of as-built data in BIM models.

BACKGROUND Despite current recommendations, there is no recent scientific study comparing the influence of CT reconstruction kernels on lung pattern recognition in interstitial lung disease (ILD). PURPOSE To evaluate the sensitivity of lung (i70) and soft (i30) CT kernel algorithms for the diagnosis of ILD patterns. MATERIALS AND METHODS We retrospectively extracted between 15-25 pattern annotations per case (1 annotation = 15 slices of 1 mm) from 23 subjects resulting in 408 annotation stacks per lung kernel and soft kernel reconstructions. Two subspecialized chest radiologists defined the ground truth in consensus. 4 residents, 2 fellows, and 2 general consultants in radiology with 3 to 13 years of experience in chest imaging performed a blinded readout. In order to account for data clustering, a generalized linear mixed model (GLMM) with random intercept for reader and nested for patient and image and a kernel/experience interaction term was used to analyze the results. RESULTS The results of the GLMM indicated, that the odds of correct pattern recognition is 12 % lower with lung kernel compared to soft kernel; however, this was not statistically significant (OR 0.88; 95%-CI, 0.73-1.06; p = 0.187). Furthermore, the consultants' odds of correct pattern recognition was 78 % higher than the residents' odds, although this finding did not reach statistical significance either (OR 1.78; 95%-CI, 0.62-5.06; p = 0.283). There was no significant interaction between the two fixed terms kernel and experience. Intra-rater agreement between lung and soft kernel was substantial (κ = 0.63 ± 0.19). The mean inter-rater agreement for lung/soft kernel was κ = 0.37 ± 0.17/κ = 0.38 ± 0.17. CONCLUSION There is no significant difference between lung and soft kernel reconstructed CT images for the correct pattern recognition in ILD. There are non-significant trends indicating that the use of soft kernels and a higher level of experience lead to a higher probability of correct pattern identification. KEY POINTS · There is no significant difference between lung and soft kernel reconstructed CT images for the correct pattern recognition in interstitial lung disease.. · There are even non-significant tendencies that the use of soft kernels lead to a higher probability of correct pattern identification.. · These results challenge the current recommendations and the routinely performed separate lung kernel reconstructions for lung parenchyma analysis.. CITATION FORMAT · Klaus JB, Christodoulidis S, Peters AA et al. Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT. Fortschr Röntgenstr 2022; DOI: 10.1055/a-1901-7814.

See also the editorial by Dodd and MacDermott in this issue.

Purpose To develop accelerated 4D flow MRI by exploiting low-rank matrix structure and Hadamard sparsity. Theory and Methods 4D flow MRI data can be represented as the sum of a low-rank and a sparse component. To optimize the sparse representation of the data, it is proposed to incorporate a Hadamard transform of the velocity-encoding segments. Retrospectively and prospectively, undersampled data of the aorta of healthy subjects are used to assess the reconstruction accuracy of the proposed method relative to k-t SPARSE-SENSE reconstruction. Image reconstruction from eight-fold prospective undersampling is demonstrated and compared with conventional SENSE imaging. Results Simulation results revealed consistently lower errors in velocity estimation when compared with k-t SPARSE-SENSE. In vivo data yielded reduced error of peak flow with the proposed method relative to k-t SPARSE-SENSE when compared with two-fold SENSE ( 2.5±4.6% versus 10.2±8.5% in the ascending aorta, 3.6±8.4% versus 9.2±9.0% in the descending aorta). Streamline visualization showed more consistent flow fields with the proposed technique relative to the benchmark methods. Conclusion Image reconstruction by exploiting low-rank structure and Hadamard sparsity of 4D flow MRI data improves the reconstruction accuracy relative to current state-of-the-art methods and holds promise to reduce the long scan times of 4D flow MRI. Magn Reson Med, 2016. © 2016 International Society for Magnetic Resonance in Medicine.

Die (Zusammen-)Arbeit in Spitalern verandert sich. Vermehrte Spezialisierung, Kostenfokussierung und Interdisziplinaritat fordern Mitarbeitende wie Kader gleichermassen. Bei den aktuellen Herausforderungen kommt den Leitungspersonen eine besondere Rolle und Verantwortung zu – sie sollen fuhren. Doch was bedeutet das, und wie gelingt es, als Arzt oder Arztin neben all den anderen Aufgaben, gut zu fuhren?

We have aimed at developing a general methodology for the isolation of enzymatic activities from large repertoires of protein displayed on the surface of a filamentous phage. When selecting for protein binders by phage display, phage particles with suitable specificities are physically isolated by affinity capture and amplified by bacterial infection. Selection for catalysis mediated by enzymes displayed on filamentous phage is more difficult, as reaction products (which represent the biochemical memory of the reaction catalysed by the phage particle) diffuse away after the reaction is complete. We reasoned that if we were able to anchor the reaction products on the phage surface, the catalytically active phages could then be physically isolated using specific anti-product affinity reagents. We achieve the conditional anchoring of reaction substrates and products on phage by displaying enzyme-calmodulin chimeric proteins on filamentous phage as gene III fusions. Such phage particles can be targeted in a stable fashion (koff 50 per round of selection.

Considerable progress has been made in recent years in the design of transcription factors for the directed regulation of endogenous genes. Although many strategies involve selection methods that must be applied for each new target sequence, we have developed an approach based on linkage of predefined zinc finger domains that each recognize a three-base pair DNA sequence to construct artificial transcription factors that bind to a desired sequence. These domains can be assembled to recognize unique 18-base pair DNA sequences with high specificity. Here we report the development and characterization of zinc finger domains that bind to 15 of the 16 5'-CNN-3' subsites. These domains were created through a combination of phage display selection, site-directed mutagenesis, and de novo design. Furthermore, these domains were used to generate a highly specific six-finger protein targeting the ERBB-2 promoter. When fused to regulatory domains, this protein was capable of up- and down-regulating the expression of the endogenous ERBB-2 gene. With the addition of this collection of predefined zinc finger domains, most 5'-CNN-3'-, 5'-GNN-3'-, and 5'-ANN-3'-containing sequences can now be rapidly targeted for directed gene regulation and nuclease cleavage.

In previous studies, we have developed a technology for the rapid construction of novel DNA-binding proteins with the potential to recognize any unique site in a given genome. This technology relies on the modular assembly of modified zinc finger DNA-binding domains, each of which recognizes a three bp subsite of DNA. A complete set of 64 domains would provide comprehensive recognition of any desired DNA sequence, and new proteins could be assembled by any laboratory in a matter of hours. However, a critical parameter for this approach is the extent to which each domain functions as an independent, modular unit, without influence or dependence on its neighboring domains. We therefore examined the detailed binding behavior of several modularly assembled polydactyl zinc finger proteins. We first demonstrated that 80 modularly assembled 3-finger proteins can recognize their DNA target with very high specificity using a multitarget ELISA-based specificity assay. A more detailed analysis of DNA binding specificity for eight 3-finger proteins and two 6-finger proteins was performed using a target site selection assay. Results showed that the specificity of these proteins was as good or better than that of zinc finger proteins constructed using methods that allow for interdependency. In some cases, near perfect specificity was achieved. Complications due to target site overlap were found to be restricted to only one particular amino acid interaction (involving an aspartate in position 2 of the alpha-helix) that occurs in a minority of cases. As this is the first report of target site selection for designed, well characterized 6-finger proteins, unique insights are discussed concerning the relationship of protein length and specificity. These results have important implications for the design of proteins that can recognize extended DNA sequences, as well as provide insights into the general rules of recognition for naturally occurring zinc finger proteins.

In previous studies we have developed Cys(2)-His(2) zinc finger domains that specifically recognized each of the 16 5'-GNN-3' DNA target sequences and could be used to assemble six-finger proteins that bind 18-base pair DNA sequences (Beerli, R. R., Dreier, B., and Barbas, C. F., III (2000) Proc. Natl. Acad. Sci. U. S. A. 97, 1495--1500). Such proteins provide the basis for the construction of artificial transcription factors to study gene/function relationships in the post-genomic era. Central to the universal application of this approach is the development of zinc finger domains that specifically recognize each of the 64 possible DNA triplets. Here we describe the construction of a novel phage display library that enables the selection of zinc finger domains recognizing the 5'-ANN-3' family of DNA sequences. Library selections provided domains that in most cases showed binding specificity for the 3-base pair target site that they were selected to bind. These zinc finger domains were used to construct 6-finger proteins that specifically bound their 18-base pair target site with affinities in the pm to low nm range. When fused to regulatory domains, these proteins containing various numbers of 5'-ANN-3' domains were capable of specific transcriptional regulation of a reporter gene and the endogenous human ERBB-2 and ERBB-3 genes. These results suggest that modular DNA recognition by zinc finger domains is not limited to the 5'-GNN-3' family of DNA sequences and can be extended to the 5'-ANN-3' family. The domains characterized in this work provide for the rapid construction of artificial transcription factors, thereby greatly increasing the number of sequences and genes that can be targeted by DNA-binding proteins built from pre-defined zinc finger domains.

Protein Engineering, 14 (12), ISSN:0269-2139, ISSN:1460-213X

Publisher Summary This chapter presents the design and discusses the use of phage display libraries for the selection of antibodies and enzymes. Phage antibody technology—that is, the display and use of antibody repertoires on the surface of bacteriophages—is a simple and inexpensive methodology that reliably yields specific monoclonal antibody fragments in 1–2 weeks of limited experimental work provided that a small amount of pure antigen is available. The attraction of phage display relies on the fact that a polypeptide can be displayed as fusion protein on the phage surface by inserting the gene coding for the polypeptide in the phage genome. On purification of a phage particle by virtue of the binding specificity displayed on its surface from a large repertoire of phage particles, the genetic information coding for the binding protein can be isolated and can amplify the corresponding phage by bacterial infection. Phage remains infective when treated with acids, bases, denaturants, and even proteases, allowing a variety of selective elution protocols. Several rounds of selections can be performed. As a consequence, even very rare binding specificities present in large repertoires can be selected and amplified from a background of phages with irrelevant binding specificities.