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Der Gesetzgeber hat kürzlich eine Änderung des Rechts der AGB beschlossen. Diese hat für Arbeitgeber zur Folge, dass sie ihre Muster-Arbeitsverträge anpassen müssen, wenn sie andernfalls drohende wirtschaftliche Nachteile vermeiden wollen. Mit Wirkung zum 1.10.2016 hat der Gesetzgeber § 309 Nr. 13 BGB neu gefasst. Nach der bisherigen Fassung waren vorformulierte Vertragsbedingungen unwirksam, die Anzeigen oder Erklärungen gegenüber dem Vertragspartner an „eine strengere Form als die Schriftform“ banden. Seit dem 1.10.2016 sind vorformulierte Vertragsbedingungen unwirksam, die derartige Anzeigen oder Erklärungen an „eine strengere Form als die Textform“ binden. Diese gesetzliche Neuregelung wirkt sich maßgeblich auf die Gestaltung von Arbeitsverträgen aus. Dies betrifft insbesondere die in Arbeitsverträgen gebräuchlichen Ausschlussfristen.
Nach jahrelangem Ringen haben sich die zuständigen Institutionen der EU auf ein einheitliches Datenschutzgesetz, die Datenschutz-Grundverordnung (DS-GV), geeinigt. Diese ist am 25.5.2016 in Kraft getreten und wird nach einer zweijährigen Übergangszeit am 25.5.2018 für alle EU-Mitgliedstaaten unmittelbar verbindlich. Verstöße hiergegen können erhebliche Sanktionen nach sich ziehen. Es drohen Bußgelder von bis zu 20 Mio. € oder bis zu 4 % des gruppenweiten Jahresumsatzes – je nachdem, welcher Betrag höher ist. Die betriebliche Praxis tut also gut daran, sich rechtzeitig mit den neuen Anforderungen zu befassen und diese umzusetzen. Dieser Beitrag gibt einen ersten Überblick über die sich aus der DS-GV ergebenden Konsequenzen für die betriebliche Praxis im Allgemeinen sowie im Hinblick auf die Datenverarbeitung im Beschäftigungskontext im Besonderen.
Kaum ein anderer Begriff hält so viele Varianten und Facetten bereit wie die Arbeitszeit. Für die betriebliche Praxis stellt sich dabei regelmäßig die Frage, was überhaupt zur Arbeitszeit gehört, entsprechend als solche zu vergüten ist und welche Optionen bei der Gestaltung der Arbeitsverträge bestehen. Der folgende Praxisleitfaden gibt einen Überblick über die aktuelle Rechtslage und enthält zugleich Hinweise für die Vertragsgestaltung. Die hierzu insbesondere in den letzten Jahren ergangenen zahlreichen aktuellen Gerichtsentscheidungen werden besonders berücksichtigt.
Das Bundeskabinett hat sich am 14.9.2016 mit der sog. Flexi-Rente befasst und eine sog. Formulierungshilfe verabschiedet, der ein aus den Regierungsfraktionen des Bundestages einzubringender entsprechender Gesetzesentwurf zur „Flexibilisierung des Übergangs vom Erwerbsleben in den Ruhestand und zur Stärkung von Prävention und Rehabilitation im Erwerbsleben (Flexirentengesetz)“ folgen soll. Eine entsprechende Vorabfassung des Gesetzesentwurfs liegt bereits vor (BT-Drucks. 18/9787). Mit der Flexi-Rente sollen im Wesentlichen zwei Ziele erreicht werden: Das flexible Arbeiten bis zum Erreichen der Regelaltersgrenze soll gefördert und das Weiterarbeiten über die Regelaltersgrenze hinaus attraktiver gemacht werden. Hierfür ist eine Reihe von gesetzlichen Änderungen geplant, insbesondere im SGB VI und SGB III. Teile des Gesetzes sollen schon zum 1.1.2017 in Kraft treten. Grund genug, sich bereits jetzt einen ersten Überblick über die geplanten Neuerungen zu verschaffen.
Development of a subject-oriented reference process model for the telecommunications industry
(2016)
Generally the usage of reference models can be structured top-down or bottom-up. The practical need of agile change and flexible organizational implementation requires a consistent mapping to an operational level. In this context, well-established reference process models are typically structured top-down. The subject-oriented Business Process Management (sBPM) offers a modeling concept that is structured bottom-up and concentrates on the process actors on an
operational level. This paper applies sBPM to the enhanced Telecom Operations Map (eTOM), a well-accepted reference process model in the telecommunications industry. The resulting design artifact is a concrete example for a combination of a bottom-up and top-down developed reference model. The results are evaluated and confirmed in practical context through the involvement of the industry body TMForum.
Replacement tissues, designed to fill in articular cartilage defects, should exhibit the same properties as the native material. The aim of this study is to foster the understanding of, firstly, the mechanical behavior of the material itself and, secondly, the influence of cultivation parameters on cell seeded implants as well as on cell migration into acellular implants. In this study, acellular cartilage replacement material is theoretically, numerically and experimentally investigated regarding its viscoelastic properties, where a phenomenological model for practical applications is developed. Furthermore, remodeling and cell migration are investigated.
We investigate the suitability of selected measures of complexity based on recurrence quantification analysis and recurrence networks for an identification of pre-seizure states in multi-day, multi-channel, invasive electroencephalographic recordings from five epilepsy patients. We employ several statistical techniques to avoid spurious findings due to various influencing factors and due to multiple comparisons and observe precursory structures in three patients. Our findings indicate a high congruence among measures in identifying seizure precursors and emphasize the current notion of seizure generation in large-scale epileptic networks. A final judgment of the suitability for field studies, however, requires evaluation on a larger database.
This work presents a methodology for automated
damage-sensitive feature extraction and anomaly
detection under multivariate operational variability
for in-flight assessment of wings. The
method uses a passive excitation approach, i. e.
without the need for artificial actuation. The
modal system properties (natural frequencies and
damping ratios) are used as damage-sensitive
features. Special emphasis is placed on the use
of Fiber Bragg Grating (FBG) sensing technology
and the consideration of Operational and
Environmental Variability (OEV). Measurements
from a wind tunnel investigation with a composite
cantilever equipped with FBG and piezoelectric
sensors are used to successfully detect an impact
damage. In addition, the feasibility of damage
localisation and severity estimation is evaluated
based on the coupling found between damageand
OEV-induced feature changes.
Wind-induced operational variability is one of the major challenges for structural health monitoring of slender engineering structures like aircraft wings or wind turbine blades. Damage sensitive features often show an even bigger sensitivity to operational variability. In this study a composite cantilever was subjected to multiple mass configurations, velocities and angles of attack in a controlled wind tunnel environment. A small-scale impact damage was introduced to the specimen and the structural response measurements were repeated. The proposed damage detection methodology is based on automated operational modal analysis. A novel baseline preparation procedure is described that reduces the amount of user interaction to the provision of a single consistency threshold. The procedure starts with an indeterminate number of operational modal analysis identifications from a large number of datasets and returns a complete baseline matrix of natural frequencies and damping ratios that is suitable for subsequent anomaly detection. Mahalanobis distance-based anomaly detection is then applied to successfully detect the damage under varying severities of operational variability and with various degrees of knowledge about the present operational conditions. The damage detection capabilities of the proposed methodology were found to be excellent under varying velocities and angles of attack. Damage detection was less successful under joint mass and wind variability but could be significantly improved through the provision of the currently encountered operational conditions.
Operational Modal Analysis (OMA) is a promising candidate for flutter testing and Structural Health Monitoring (SHM) of aircraft wings that are passively excited by wind loads. However, no studies have been published where OMA is tested in transonic flows, which is the dominant condition for large civil aircraft and is characterized by complex and unique aerodynamic phenomena. We use data from the HIRENASD large-scale wind tunnel experiment to automatically extract modal parameters from an ambiently excited wing operated in the transonic regime using two OMA methods: Stochastic Subspace Identification (SSI) and Frequency Domain Decomposition (FDD). The system response is evaluated based on accelerometer measurements. The excitation is investigated from surface pressure measurements. The forcing function is shown to be non-white, non-stationary and contaminated by narrow-banded transonic disturbances. All these properties violate fundamental OMA assumptions about the forcing function. Despite this, all physical modes in the investigated frequency range were successfully identified, and in addition transonic pressure waves were identified as physical modes as well. The SSI method showed superior identification capabilities for the investigated case. The investigation shows that complex transonic flows can interfere with OMA. This can make existing approaches for modal tracking unsuitable for their application to aircraft wings operated in the transonic flight regime. Approaches to separate the true physical modes from the transonic disturbances are discussed.