7 results on '"Frederic Schulz"'
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2. Branch point strength controls species-specific CAMK2B alternative splicing and regulates LTP
- Author
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Andreas Franz, A Ioana Weber, Marco Preußner, Nicole Dimos, Alexander Stumpf, Yanlong Ji, Laura Moreno-Velasquez, Anne Voigt, Frederic Schulz, Alexander Neumann, Benno Kuropka, Ralf Kühn, Henning Urlaub, Dietmar Schmitz, Markus C Wahl, and Florian Heyd
- Subjects
Cancer Research ,Ecology ,Health, Toxicology and Mutagenesis ,species-specific CAMK2B ,500 Naturwissenschaften und Mathematik::570 Biowissenschaften ,Biologie::570 Biowissenschaften ,Biologie ,Plant Science ,Technology Platforms ,Function and Dysfunction of the Nervous System ,Biochemistry, Genetics and Molecular Biology (miscellaneous) - Abstract
Regulation and functionality of species-specific alternative splicing has remained enigmatic to the present date. Calcium/calmodulin-dependent protein kinase IIβ (CaMKIIβ) is expressed in several splice variants and plays a key role in learning and memory. Here, we identify and characterize several primate-specificCAMK2Bsplice isoforms, which show altered kinetic properties and changes in substrate specificity. Furthermore, we demonstrate that primate-specificCAMK2Balternative splicing is achieved through branch point weakening during evolution. We show that reducing branch point and splice site strengths during evolution globally renders constitutive exons alternative, thus providing novel mechanistic insight intocis-directed species-specific alternative splicing regulation. Using CRISPR/Cas9, we introduce a weaker, human branch point sequence into the mouse genome, resulting in strongly alteredCamk2bsplicing in the brains of mutant mice. We observe a strong impairment of long-term potentiation in CA3-CA1 synapses of mutant mice, thus connecting branch point–controlledCAMK2Balternative splicing with a fundamental function in learning and memory.
- Published
- 2023
3. Branch point evolution controls species-specific alternative splicing and regulates long term potentiation
- Author
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Andreas Franz, A. Ioana Weber, Marco Preußner, Nicole Dimos, Alexander Stumpf, Yanlong Ji, Laura Moreno-Velasquez, Anne Voigt, Frederic Schulz, Alexander Neumann, Benno Kuropka, Ralf Kühn, Henning Urlaub, Dietmar Schmitz, Markus C. Wahl, and Florian Heyd
- Subjects
Cancer Research ,Technology Platforms ,Function and Dysfunction of the Nervous System - Abstract
Regulation and functionality of species-specific alternative splicing has remained enigmatic to the present date. Calcium/calmodulin-dependent protein kinase IIβ (CaMKIIβ) is expressed in several splice variants and plays a key role in learning and memory. Here, we identify and characterize several primate-specific CAMK2B splice isoforms, which show altered kinetic properties and changes in substrate specificity. Furthermore, we demonstrate that primate-specific Camk2β alternative splicing is achieved through branch point weakening during evolution. We show that reducing branch point and splice site strengths during evolution globally renders constitutive exons alternative, thus providing a paradigm for cis-directed species-specific alternative splicing regulation. Using CRISPR/Cas9 we introduced a weaker human branch point into the mouse genome, resulting in human-like CAMK2B splicing in the brain of mutant mice. We observe a strong impairment of long-term potentiation in CA3-CA1 synapses of mutant mice, thus connecting branch point-controlled, species-specific alternative splicing with a fundamental function in learning and memory.
- Published
- 2022
- Full Text
- View/download PDF
4. Am Webstuhl der Zeit : Das Politikressort der Frankfurter Allgemeinen Zeitung von 1949 bis 1982
- Author
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Frederic Schulz and Frederic Schulz
- Abstract
Frederic Schulz eröffnet mit dem vorliegenden Buch den Blick zurück auf eines der bedeutendsten politischen Ressorts der Bonner Republik, dem der Frankfurter Allgemeinen Zeitung, und schließt damit eine medienhistorische Lücke. Dabei steht die Ära des mächtigen Gründungsherausgebers Erich Welter, die Jahre 1949 bis 1982, im Fokus. Das Buch widmet sich auf der Grundlage bislang unbekannter Quellen den Prozessen hinter dem Politikteil der FAZ. Schulz zeigt auf, welche personellen und strategischen Entwicklungen das Ressort über mehr als drei Jahrzehnte verfolgte. Dabei wird erkennbar, wie sich der politische Journalismus der FAZ durch den Medienwandel veränderte und vor dem Hintergrund gesellschaftlicher und politischer Entwicklungen weiterentwickelte. Darüber hinaus widmet sich Schulz Themen wie den NS-Vergangenheiten im Ressort sowie Geschlechterfragen und Generationenkonflikten und dem einzigartigen Korrespondentenwesen.
- Published
- 2023
5. Does Greater Disclosure of Information on CSR Performance Improve Analystss Forecast Accuracy?
- Author
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Jan-Frederic Schulz
- Subjects
ComputingMilieux_THECOMPUTINGPROFESSION ,business.industry ,Value (economics) ,Capital cost ,Corporate social responsibility ,Future value ,Accounting ,Share price ,business ,Business studies ,Publication - Abstract
We analyze the effects of CSR disclosure on the accuracy of analysts’ share price targets. The accuracy of analysts’ price targets is value-relevant as it reduces firms’ capital costs. We assess this relationship for S&P 500 firms from 2009 to 2014, applying panel regressions. We find that the accuracy of analysts’ share price targets – measured as analysts’ forecast errors – worsen if firms disclose more information on CSR performance – measured using Bloomberg’s ESG disclosure score. This effect is further reinforced for firms in so-called “dirty” industries. We also find that the accuracy of analysts’ price targets increases if firms publish a separate CSR report and show good CSR performance. Based on our findings and prior literature, we argue that (1) analysts have difficulties processing additionally disclosed information on CSR, as this information is not sufficiently standardized for analysts to derive the correct impact on the firm’s future value as well as share price target, and that (2) a firm’s management may arbitrarily report on CSR performance to increase the firm’s value. We see further regulations on non-financial reporting similar to those on financial reporting as essential to change these situations.
- Published
- 2016
- Full Text
- View/download PDF
6. How Private is Your Private Cloud?
- Author
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Mario Heiderich, Frederic Schulz, Dennis Felsch, and Jörg Schwenk
- Subjects
Cloud computing security ,HTML5 ,business.industry ,Computer science ,Cross-site scripting ,Business failure ,Cloud computing ,Data breach ,Computer security ,computer.software_genre ,The Internet ,business ,computer ,Clickjacking - Abstract
The security gateway between an attacker and a user's private data is the Cloud Control Interface (CCI): If an attacker manages to get access to this interface, he controls the data. Several high-level data breaches originate here, the latest being the business failure of the British company Code Spaces. In such situations, using a private cloud is often claimed to be more secure than using a public cloud. In this paper, we show that this security assumption may not be justified: We attack private clouds through their rich, HTML5-based control interfaces, using well-known attacks on web interfaces (XSS, CSRF, and Clickjacking) combined with novel exploitation techniques for Infrastructure as a Service clouds.We analyzed four open-source projects for private IaaS cloud deployment (Eucalyptus, OpenNebula, OpenStack, and openQRM) in default configuration. We were able to compromise the security of three cloud installations (Eucalyptus, OpenNebula, and openQRM) One of our attacks (OpenNebula) allowed us to gain root access to VMs even if full perimeter security is enabled, i.e. if the cloud control interface is only reachable from a certain segment of the company's network, and if all network traffic is filtered through a firewall.We informed all projects about the attack vectors and proposed mitigations. As a general recommendation, we propose to make web management interfaces for private clouds inaccessible from the Internet, and to include this technical requirement in the definition of a private cloud.
- Published
- 2015
- Full Text
- View/download PDF
7. A Spatio-Temporal Ensemble Deep Learning Architecture for Real-Time Defect Detection during Laser Welding on Low Power Embedded Computing Boards
- Author
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Christian Knaak, Jakob von Eßen, Moritz Kröger, Frederic Schulze, Peter Abels, and Arnold Gillner
- Subjects
real-time process monitoring ,recurrent neural network ,high-speed infrared imaging ,convolutional neural network ,lack of fusion (false friends) ,feature importance ,Chemical technology ,TP1-1185 - Abstract
In modern production environments, advanced and intelligent process monitoring strategies are required to enable an unambiguous diagnosis of the process situation and thus of the final component quality. In addition, the ability to recognize the current state of product quality in real-time is an important prerequisite for autonomous and self-improving manufacturing systems. To address these needs, this study investigates a novel ensemble deep learning architecture based on convolutional neural networks (CNN), gated recurrent units (GRU) combined with high-performance classification algorithms such as k-nearest neighbors (kNN) and support vector machines (SVM). The architecture uses spatio-temporal features extracted from infrared image sequences to locate critical welding defects including lack of fusion (false friends), sagging, lack of penetration, and geometric deviations of the weld seam. In order to evaluate the proposed architecture, this study investigates a comprehensive scheme based on classical machine learning methods using manual feature extraction and state-of-the-art deep learning algorithms. Optimal hyperparameters for each algorithm are determined by an extensive grid search. Additional work is conducted to investigate the significance of various geometrical, statistical and spatio-temporal features extracted from the keyhole and weld pool regions. The proposed method is finally validated on previously unknown welding trials, achieving the highest detection rates and the most robust weld defect recognition among all classification methods investigated in this work. Ultimately, the ensemble deep neural network is implemented and optimized to operate on low-power embedded computing devices with low latency (1.1 ms), demonstrating sufficient performance for real-time applications.
- Published
- 2021
- Full Text
- View/download PDF
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