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Maturity model for determining digitalization levels within different product lifecycle phases
(2021)
Maintaining pace with ongoing changes due to digitalization is challenging for manufacturing companies. For successful
implementation of digitalization, manufacturing companies must consider their existing technical systems, organizational
structures, and processes, as well as social aspects. With the support of a maturity model, a company-specific digitalization
level can be evaluated to provide manufacturing companies with an initial insight into their particular status quo; this
can serve as a starting point for future optimization and digitalization projects. Furthermore, the results of such an analysis
allow objective comparison of different areas within the company and with competitors. In this paper, the “Integrierte Arbeitssystemgestaltung
in digitalisierten Produktionsunternehmen” (InAsPro) maturity model is presented, which considers
the Development, Production, and Assembly product lifecycle phases, as well as Aftersales, and assesses their digitalization
level focusing on the four dimensions of Technology, Organization, Social Issues, and Corporate Strategy. The maturity
model’s rating scale distinguishes between four maturity levels. The results given by the InAsPro maturity model for an
entire company are presented, along with those for each product lifecycle phase. Extensive descriptions for each specific
maturity level are also provided.
Consider a linear realization of a matroid over a field. One associates with it a configuration
polynomial and a symmetric bilinear form with linear homogeneous coefficients.
The corresponding configuration hypersurface and its non-smooth locus support the
respective first and second degeneracy scheme of the bilinear form.We showthat these
schemes are reduced and describe the effect of matroid connectivity: for (2-)connected
matroids, the configuration hypersurface is integral, and the second degeneracy scheme
is reduced Cohen–Macaulay of codimension 3. If the matroid is 3-connected, then also
the second degeneracy scheme is integral. In the process, we describe the behavior
of configuration polynomials, forms and schemes with respect to various matroid
constructions.
Loss of USP28 and SPINT2 expression promotes cancer cell survival after whole genome doubling
(2021)
Background
Whole genome doubling is a frequent event during cancer evolution and shapes the cancer genome due to the occurrence of chromosomal instability. Yet, erroneously arising human tetraploid cells usually do not proliferate due to p53 activation that leads to CDKN1A expression, cell cycle arrest, senescence and/or apoptosis.
Methods
To uncover the barriers that block the proliferation of tetraploids, we performed a RNAi mediated genome-wide screen in a human colorectal cancer cell line (HCT116).
Results
We identified 140 genes whose depletion improved the survival of tetraploid cells and characterized in depth two of them: SPINT2 and USP28. We found that SPINT2 is a general regulator of CDKN1A transcription via histone acetylation. Using mass spectrometry and immunoprecipitation, we found that USP28 interacts with NuMA1 and affects centrosome clustering. Tetraploid cells accumulate DNA damage and loss of USP28 reduces checkpoint activation, thus facilitating their proliferation.
Conclusions
Our results indicate three aspects that contribute to the survival of tetraploid cells: (i) increased mitogenic signaling and reduced expression of cell cycle inhibitors, (ii) the ability to establish functional bipolar spindles and (iii) reduced DNA damage signaling.
This article investigates a network interdiction problem on a tree network: given a subset of nodes chosen as facilities, an interdictor may dissect the network by removing a size-constrained set of edges, striving to worsen the established facilities best possible. Here, we consider a reachability objective function, which is closely related to the covering objective function: the interdictor aims to minimize the number of customers that are still connected to any facility after interdiction. For the covering objective on general graphs, this problem is known to be NP-complete (Fröhlich and Ruzika In: On the hardness of covering-interdiction problems. Theor. Comput. Sci., 2021). In contrast to this, we propose a polynomial-time solution algorithm to solve the problem on trees. The algorithm is based on dynamic programming and reveals the relation of this location-interdiction problem to knapsack-type problems. However, the input data for the dynamic program must be elaborately generated and relies on the theoretical results presented in this article. As a result, trees are the first known graph class that admits a polynomial-time algorithm for edge interdiction problems in the context of facility location planning.
Plasticity in metallic glasses depends on their stoichiometry. We explore this dependence by molecular dynamics simulations for the case of CuZr alloys using the compositions Cu64.5Zr35.5, Cu50Zr50, and Cu35.5Zr64.5. Plasticity is induced by nanoindentation and orthogonal cutting. Only the Cu64.5Zr35.5 sample shows the formation of localized strain in the form of shear bands, while plasticity is more homogeneous for the other samples. This feature concurs with the high fraction of full icosahedral short-range order found for Cu64.5Zr35.5. In all samples, the atomic density is reduced in the plastic zone; this reduction is accompanied by a decrease of the average atom coordination, with the possible exception of Cu35.5Zr64.5, where coordination fluctuations are high. The strongest density reduction occurs in Cu64.5Zr35.5, where it is connected with the partial destruction of full icosahedral short-range order. The difference in plasticity mechanism influences the shape of the pileup and of the chip generated by nanoindentation and cutting, respectively.
Linear evolution equations are considered usually for the time variable being defined on an interval where typically initial conditions or time periodicity of solutions is required to single out certain solutions. Here, we would like to make a point of allowing time to be defined on a metric graph or network where on the branching points coupling conditions are imposed such that time can have ramifications and even loops. This not only generalizes the classical setting and allows for more freedom in the modeling of coupled and interacting systems of evolution equations, but it also provides a unified framework for initial value and time-periodic problems. For these time-graph Cauchy problems questions of well-posedness and regularity of solutions for parabolic problems are studied along with the question of which time-graph Cauchy problems cannot be reduced to an iteratively solvable sequence of Cauchy problems on intervals. Based on two different approaches—an application of the Kalton–Weis theorem on the sum of closed operators and an explicit computation of a Green’s function—we present the main well-posedness and regularity results. We further study some qualitative properties of solutions. While we mainly focus on parabolic problems, we also explain how other Cauchy problems can be studied along the same lines. This is exemplified by discussing coupled systems with constraints that are non-local in time akin to periodicity.
In recent years, ◂...▸optical character recognition (OCR) systems have been used to digitally preserve historical archives. To transcribe historical archives into a machine-readable form, first, the documents are scanned, then an OCR is applied. In order to digitize documents without the need to remove them from where they are archived, it is valuable to have a portable device that combines scanning and OCR capabilities. Nowadays, there exist many commercial and open-source document digitization techniques, which are optimized for contemporary documents. However, they fail to give sufficient text recognition accuracy for transcribing historical documents due to the severe quality degradation of such documents. On the contrary, the anyOCR system, which is designed to mainly digitize historical documents, provides high accuracy. However, this comes at a cost of high computational complexity resulting in long runtime and high power consumption. To tackle these challenges, we propose a low power energy-efficient accelerator with real-time capabilities called iDocChip, which is a configurable hybrid hardware-software programmable ◂...▸System-on-Chip (SoC) based on anyOCR for digitizing historical documents. In this paper, we focus on one of the most crucial processing steps in the anyOCR system: Text and Image Segmentation, which makes use of a multi-resolution morphology-based algorithm. Moreover, an optimized FPGA-based hybrid architecture of this anyOCR step along with its optimized software implementations are presented. We demonstrate our results on multiple embedded and general-purpose platforms with respect to runtime and power consumption. The resulting hardware accelerator outperforms the existing anyOCR by 6.2×, while achieving 207× higher energy-efficiency and maintaining its high accuracy.
Functional illiteracy and developmental dyslexia: looking for common roots. A systematic review
(2021)
A considerable amount of the population in more economically developed countries are functionally illiterate (i.e., low literate). Despite some years of schooling and basic reading skills, these individuals cannot properly read and write and, as a consequence have problems to understand even short texts. An often-discussed approach (Greenberg et al. 1997) assumes weak phonological processing skills coupled with untreated developmental dyslexia as possible causes of functional illiteracy. Although there is some data suggesting commonalities between low literacy and developmental dyslexia, it is still not clear, whether these reflect shared consequences (i.e., cognitive and behavioral profile) or shared causes. The present systematic review aims at exploring the similarities and differences identified in empirical studies investigating both functional illiterate and developmental dyslexic samples. Nine electronic databases were searched in order to identify all quantitative studies published in English or German. Although a broad search strategy and few limitations were applied, only 5 studies have been identified adequate from the resulting 9269 references. The results point to the lack of studies directly comparing functional illiterate with developmental dyslexic samples. Moreover, a huge variance has been identified between the studies in how they approached the concept of functional illiteracy, particularly when it came to critical categories such the applied definition, terminology, criteria for inclusion in the sample, research focus, and outcome measures. The available data highlight the need for more direct comparisons in order to understand what extent functional illiteracy and dyslexia share common characteristics.
Effects of the Velocity Sequences on the Friction and Wear Performance of PEEK-Based Materials
(2021)
In the present study, effects of the sliding velocity sequences on the friction and wear properties of pure polyetheretherketone (PEEK) and a PEEK hybrid composite were studied. It is demonstrated that the tribological properties of pure PEEK and its composite show a complex nature of the dependence on the velocity sequences in the studied range. The friction coefficient of PEEK is independent on previous velocity histories. In contrast, the testing sequence of the velocity exerts obvious impact on the friction coefficient of the PEEK composite at slow sliding velocities. With respect to the wear performance, the specific wear rate of pure PEEK exhibits a strong dependence on the sequences of the velocity only at the initial pv-levels. For the PEEK composite, its specific wear rate exhibits an obvious dependence on the previous velocity levels at a low nominal pressure of 1 MPa. When the pressure is increased to 8 MPa, the impact of the velocity sequences on the wear performance becomes insignificant. In addition, the tribological properties clearly correlate with the temperature of the tribosystem.
The reason why variant selection phenomena occur in ausforming treatments is still not known. For that reason, in this work, the effect of compressive deformation on the macro and micro-texture of a bainitic microstructure was analyzed in a medium-carbon high-silicon steel subjected to ausforming treatments, where deformation was applied at 520 °C, 400 °C and 300 °C. The as-received material presented a very weak ⟨331⟩ fiber texture along the rod axis, due to prior thermomechanical processing. For the samples isothermally heat-treated, it was detected that the bainitic ferrite inherited a ⟨100⟩ fiber texture from the ⟨110⟩ fiber texture present in the prior austenite. The intensity of this transformation texture was more pronounced as the deformation temperature decreased. Also, variant selection was examined at different scales by combining Electron-Backscattered Diffraction and X-ray Diffraction. The quantification of the fraction of crystallographic variants under certain conventions for every condition revealed variant selection in samples subjected to ausforming treatments, where these phenomena were stronger as the deformation temperature was lower. Finally, some of the theories proposed so far to explain these variant selection phenomena were tested, showing that variants were not selected based on their Bain group and that their selection can be better described in terms of their belonging to packets, if these are defined according to a global reference frame. This suggests that the phenomena might have to do with the effect of deformation mechanisms on the prior austenite.