Molecular Targeting Therapy against EGFR Family in Breast Cancer. Progress and Future Potentials

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    The epidermal growth factor receptor (EGFR) family contains four transmembrane tyrosine kinases (EGFR1/ErbB1, Her2/ErbB2, Her3/ErbB3 and Her4/ErbB4) and 13 secreted polypeptide ligands. EGFRs are overexpressed in many solid tumors, including breast, pancreas, head-and-neck, prostate, ovarian, renal, colon, and non-small-cell lung cancer. Such overexpression produces strong stimulation of downstream signaling pathways, which induce cell growth, cell differentiation, cell cycle progression, angiogenesis, cell motility and blocking of apoptosis. The high expression and/or functional activation of EGFRs correlates with the pathogenesis and progression of several cancers, which make them attractive targets for both diagnosis and therapy. Several approaches have been developed to target these receptors and/or the EGFR modulated effects in cancer cells. Most approaches include the development of anti-EGFRs antibodies and/or small-molecule EGFR inhibitors. This review presents the state-of-the-art and future prospects of targeting EGFRs to treat breast cancer

    Optimized Swing Equation Control for Battery Energy Storage Systems

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    In this study, an Optimized Swing Equation Control (OSEC) for supplying system inertia (SI) by Battery Energy Storage Systems (BESS) is presented. It enables BESS that function as Virtual Synchronous Machines (VSM) to achieve the same dynamic frequency stability while their power output is significantly reduced. Due to its high penetration of wind turbines, the region of Hamburg and Schleswig-Holstein in Northern Germany serves as an example for the development of power systems towards low inertia conditions. A detailed grid model of the region is set up in DIgSILENT PowerFactory to develop an advanced concept for inertia support using BESS with OSEC

    Approach for the identification of influencing factors and their effects on energy flexible production systems

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    Due to the expansion of renewable energies in Germany, the electrical energy supply is shifting to a complex volatile system. This work provides an approach for the identification of influencing factors and their effects on energy flexible production systems. Therefore, the system dynamic approach is extended by energy flexibility. As a result, a four-step method is presented that supports the energy and production manager in adapting the production system to the energy availability in the power grid. It is a matter of gaining an overview of the effects on the energy flexibility when typical variables are manipulated in production systems

    Integration of Active Pharmaceutical Ingredient production into a pharmaceutical Lean Learning Factory

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    In the context of the implementation of Lean Production Systems, companies have become significantly more aware of the need for employee qualification and motivation. Due to the high share of practice, Learning Factories have proven to be an effective approach to respond to this circumstance. While the focus of Learning Factories has so far mainly been on discrete manufacturing, applications in the pharmaceutical industry are still comparatively rare. Based on this, a Learning Factory, that takes into account the special requirements and needs of the pharmaceutical industry, was developed and implemented in collaboration with a German pharmaceutical company. So far, Lean culture and tools have been trained on formulation and packaging processes. However, the active pharmaceutical ingredient (API) production, which is characterized by a higher level of automation as well as chemical and process engineering procedures, was initially not displayed, as no sufficient demand was assumed. Due to the increasing need for a holistic consideration of the whole value chain, the API production is moving into the focus of Lean improvements. In this context, many established tools need to be adapted. From feedback of over 120 conducted trainings and a series of interviews, it became clear, that for employees from API production, it is difficult to transfer the necessary knowledge to their work environment, leading to resistance in implementing Lean tools. In order to counter this problem, the Learning Factory was expanded by an additional API learning module. This increased the willingness of employees to participate in the trainings and to implement the contents

    Der deutsche Mittelstand wird digital

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    Um langfristig wettbewerbsfähig zu bleiben, muss auch der deutsche Mittelstand digital werden. "Digital in NRW" unterstützt kleine und mittlere Unternehmen auf dem Weg in die Industrie 4.0 - wobei genau der Mittelstand unterstützt wird, das erläutert Dr.-Ing. Matthias Parlings vom Fraunhofer-Institut für Materialfluss und Logistik IM

    Digitisation in Logistics: Answers to questions that concern companies. Position Paper

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    In the era of digitisation, customers make extremely high demands in terms of levels of service and the flexibility of logistics services. The key market drivers of digitization are increased requirements with regard to transparency, supply capability and delivery reliability as well as the desire for individualized products or services. The B2Csegment is driving high expectations, and customers are now increasingly also voicing these expectations in the B2B environment

    CL-TWE Mach-Zehnder modulators on InP: Central elements in transmitter PICs of increasing complexity

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    The development of advanced InP-based transmitter PICs of increasing complexity and integrating periodically capacitive-loaded (CL) Travelling Wave Electrode (TWE) Mach-Zehnder modulators is reported and discussed in examples

    Unternehmensseitige IT-Voraussetzungen für Energiesynchronisation

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    Es wird das Konzept und die IT-Architektur einer Plattform zur Unternehmensseitigen Energie-Synchronisierung vorgestellt, welche im Kontext des Projektes SynErgie entwickelt wird

    Towards light transport matrix processing for transparent object inspection

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    Objects made out of transparent materials play important roles in human's everyday life. The majority of applications that employ transparent materials require them to meet high quality standards. Particularly, transparent materials have to be free from so-called scattering defects, e.g., enclosed air bubbles. Common dark field setups can generally be used to automatically test transparent objects for such defects. However, their adaption to the concrete test object on hand often represents a time consuming task. This contribution introduces a method that combines an optical system consisting of a telecentric camera and a spatially programmable area light source with the theory of light transport matrices. Two features are presented that can be extracted out of these matrices and that allow to image scattering defects present in a transparent object without the need of adapting the system to the actual test object. A physically based rendering framework is adequately extended so that light transport matrices can be efficiently approximated for synthetic inspection scenes. By this means, the proposed approach could be successfully evaluated and it could be shown that it even outperforms a conventional visual inspection setup in some situations

    Die Servicerobotik legt rekordverdächtig zu

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    Der Robotermarkt boomt – und ganz vorn dabei: die Servicerobotik. Schlüsseltechnologien, Märkte und wirtschaftliche Anwendungen wurden unlängst im Forum „Industrielle Servicerobotik“ am Fraunhofer IPA mit Fach- und Führungskräften aus der Automatisierungsbranche diskutiert
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