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The implementation of human resource (HR) policies often proves troublesome due to the appearance, and stubborn persistence, of gaps in the process. Human resource management (HRM) scholars problematise these gaps and advocate tight implementation to reduce gaps and to ensure the desired impact of policies on organisational performance. Drawing on organisational institutionalism, we contend that gaps in implementing HR policies can actually be productive, as they secure organisational legitimacy, and thus enable organisations to operate viably within several institutional environments. We suggest that different approaches to implementation are needed, some of them premised on accepting sustained implementation gaps. We introduce minimum and moderate implementation approaches, rooted in the notion of decoupling, to complement approaches aimed at tight implementation. Our aim is to support the further development of research based on a richer interpretation of HRM implementation challenges and choices they present for HR managers.
Global, competitive markets which are characterised by mass customisation and rapidly changing customer requirements force major changes in production styles and the configuration of manufacturing systems. As a result, factories may need to be regularly adapted and optimised to meet short-term requirements. One way to optimise the production process is the adaptation of the plant layout to the current or expected order situation. To determine whether a layout change is reasonable, a model of the current layout is needed. It is used to perform simulations and in the case of a layout change it serves as a basis for the reconfiguration process. To aid the selection of possible measurement systems, a requirements analysis was done to identify the important parameters for the creation of a digital shadow of a plant layout. Based on these parameters, a method is proposed for defining limit values and specifying exclusion criteria. The paper thus contributes to the development and application of systems that enable an automatic synchronisation of the real layout with the digital layout.
Higher education institutions (HEIs) rely heavily on information technology (IT) to create innovations. Therefore, IT governance (ITG) is essential for education activities, particularly during the ongoing COVID-19 pandemic. However, the traditional concept of ITG is not fully equipped to deal with the current changes occurring in the digital age. Today's ITG requires an agile approach that can respond to disruptions in the HEI environment. Consequently, universities increasingly need to adopt agile strategies to ensure superior performance. This research proposes a conceptualization comprising three agile dimensions within the ITG construct: structures, processes, and relational mechanisms. An extensive qualitative evaluation of industry uncovered 46 agile governance mechanisms. Moreover, 16 professors rated these elements to assess agile ITG in their HEIs to determine those most effective for HEIs. This led to the identification of four structure elements, seven processes, and seven relational mechanisms.
We propose a novel technique to compensate the effects of R-C / gm-C time-constant (TC) errors due to process variation in continuous-time delta-sigma modulators. Local TC error compensation factors are shifted around in the modulator loop to positions where they can be implemented efficiently with tunable circuit structures, such as current-steering digital-to-analog converters (DAC). This approach constitutes an alternative or supplement to existing compensation techniques, including capacitor or gm tuning. We apply the proposed technique to a third-order, single-bit, low-pass continuous-time delta-sigma modulator in cascaded integrator feedback structure. A feedback path tuning scheme is derived analytically and confirmed numerically using behavioral simulations. The modulator circuit was implemented in a 0.35-μm CMOS process using an active feedback coefficient tuning structure based on current-steering DACs. Post-layout simulations show that with this tuning structure, constant performance and stable operation can be obtained over a wide range of TC variation.
The scoring of sleep stages is an essential part of sleep studies. The main objective of this research is to provide an algorithm for the automatic classification of sleep stages using signals that may be obtained in a non-obtrusive way. After reviewing the relevant research, the authors selected a multinomial logistic regression as the basis for their approach. Several parameters were derived from movement and breathing signals, and their combinations were investigated to develop an accurate and stable algorithm. The algorithm was implemented to produce successful results: the accuracy of the recognition of Wake/NREM/REM stages is equal to 73%, with Cohen's kappa of 0.44 for the analyzed 19324 sleep epochs of 30 seconds each. This approach has the advantage of using the only movement and breathing signals, which can be recorded with less effort than heart or brainwave signals, and requiring only four derived parameters for the calculations. Therefore, the new system is a significant improvement for non-obtrusive sleep stage identification compared to existing approaches.
Säureschutzmantel - Ausrüstung zum Schutz gegen mikrobiellen Befall - (DTNW Mitteilung Nr. 129)
(2022)
Ziel des Forschungsvorhabens war es, den Effekt des Säureschutzmantels der menschlichen Haut auf der textilen Oberfläche unter der Verwendung von Säurekatalyten nachzuahmen, um so neuartige, antibakterielle Textilien zu entwickeln. Hierzu sollten für die Textilindustrie wässrige Ausrüstungen entwickelt werden, die über konventionelle Veredlungstechniken wie das Foulardieren appliziert werden können. Die Aktivität der Ausrüstung sollte im feuchten Millieu gegeben sein, um einen Effekt beim Tragen von z.B. Funktionskleidung oder Arbeitskleidung im medizinischen Bereich zu gewährleisten.
Für die Erfüllung der Projektziele wurden verschiedene kommerzielle Polyoxometallate verwendet. Zudem wurden Polyoxometallate synthetisiert und funktionalisiert. Diese führen im wässrigen Millieu eine saure Katalyse durch und kommen als industrielle Katalysatoren an Membranen gebunden zum Einsatz. Ein Aktivitätsscreening geeigneter Kandidaten zeigte, dass eine wässrige Applikation möglich ist und zu einer antibakteriellen Aktivität der ausgerüsteten Textilien führt.
Die Polyoxometallate konnten durch das Sol-Gel-Verfahren mittels Tetraethoxysilan durch Foulardierverfahren im Labormaßstab an verschiedenen Textilien immobilisiert werden. Eine Hochskalierung auf den Technikumsmaßstab gelang ebenfalls. Das Aktivitätsscreening der Ausrüstungen zeigte, dass ein saurer Oberflächen-pH-Wert von ≤ 4 durch die entwickelte Ausrüstung möglich ist und zu einem antibakteriellen Effekt führt. Die Abrasionsbeständigkeit war gegeben. Nach Waschversuchen verloren die Ausrüstungen zum Teil ihren antibakteriellen Effekt.
Insgesamt ergab sich ein Einblick in den Nutzen von Polyoxometallaten als katalytisch aktive Substanz, die zur Ausrüstung von Textilien geeignet ist. Da die in diesem Forschungsvorhaben synthetisierten Polyoxometallate keine genotoxische und mutagene Aktivität aufweisen, können die KMU des textilveredelnden Wirtschaftszweigs eine neue Art der antibakteriellen Ausrüstung anwenden. Um eine Waschstabile Ausrüstung zu erzielen, müssen die Funktionalisierungen und darüber die Bindung der Polyoxometallate an die Ausrüstungsmatrix jedoch weiterentwickelt werden.
Die Ziele des Forschungsvorhabens wurden erreicht.
Due to its availability and minimal invasive harvesting human adipose tissue-derived extracellular matrix (dECM) is often used as a biomaterial in various tissue engineering and healthcare applications. Next to dECM, cell-derived ECM (cdECM) can be generated by and isolated from in vitro cultured cells. So far both types of ECM were investigated extensively toward their application as (bio)material in tissue engineering and healthcare. However, a systematic characterization and comparison of soft tissue dECM and cdECM is still missing. In this study, we characterized dECM from human adipose tissue, as well as cdECM from human adipose-derived stem cells, toward their molecular composition, structural characteristics, and biological purity. The dECM was found to exhibit higher levels of collagens and lower levels of sulfated glycosaminoglycans compared with cdECMs. Structural characteristics revealed an immature state of the fibrous part of cdECM samples. By the identified differences, we aim to support researchers in the selection of a suitable ECM-based biomaterial for their specific application and the interpretation of obtained results.
For collision and obstacle avoidance as well as trajectory planning, robots usually generate and use a simple 2D costmap without any semantic information about the detected obstacles. Thus a robot’s path planning will simply adhere to an arbitrarily large safety margin around obstacles. A more optimal approach is to adjust this safety margin according to the class of an obstacle. For class prediction, an image processing convolutional neural network can be trained. One of the problems in the development and training of any neural network is the creation of a training dataset. The first part of this work describes methods and free open source software, allowing a fast generation of annotated datasets. Our pipeline can be applied to various objects and environment settings and is extremely easy to use to anyone for synthesising training data from 3D source data. We create a fully synthetic industrial environment dataset with 10 k physically-based rendered images and annotations. Our da taset and sources are publicly available at https://github.com/LJMP/synthetic-industrial-dataset. Subsequently, we train a convolutional neural network with our dataset for costmap safety class prediction. We analyse different class combinations and show that learning the safety classes end-to-end directly with a small dataset, instead of using a class lookup table, improves the quantity and precision of the predictions.
Allyls
(2022)
This chapter addresses the importance and usage of the commercially low-volume thermoset plastics group known as allyls. The three significant subelements of this group are poly(diallylphthalates), poly(diallylisophthalates), and poly(allyldiglycol carbonate). Chemistry, processing, and properties are also described. Allyl polymers are synthesized by radical polymerizations of allyl monomers that usually do not produce high-molecular-mass macromolecules. Therefore only a few specific monomers can produce thermosetting materials. Diallyldiglycolcarbonate (CR-39) and diallylphthalates are the most significant examples that have considerably improved our everyday life.
Unsaturated polyester resins (UPR) and vinyl ester resins (VER) are among the most commercially important thermosetting matrix materials for composites. Although comparatively low cost, their technological performance is suitable for a wide range of applications, such as fiber-reinforced plastics, artificial marble or onyx, polymer concrete, or gel coats. The main areas of UPR consumption include the wind energy, marine, pipe and tank, transportation, and construction industries.
This chapter discusses basic UPR and VER chemistry and technology of manufacturing, and consequent applications. Some important properties and performance characteristics are discussed, such as shrinkage behavior, flame retardance, and property modification by nanoparticles. Also briefly introduced and described are the practical aspects of UPR and VER processing, with special emphasis on the most widely used technological approaches, such as hand and spray layup, resin infusion, resin transfer molding, sheet and bulk molding, pultrusion, winding, and centrifugal casting.