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Die Ukrainekrise und coronabedingte Lieferkettenprobleme treiben derzeitdie Rohstoff-, Material- und Lebensmittelpreise hoch. Auch die Inflationser-wartungen steigen; es drohen Zweitrundeneffekte imGefolge höhererLohnforderungen und Lohnabschlüsse. Langfristig könnten in der Eurozoneweitere Faktoren die Inflation treiben, z.B. angebotsseitig der Fachkräfte-mangel sowie globale Nahrungsmittelknappheiten und politikseitig diegewollten Effekte der Klimapolitik. Der Beitrag diskutiert vor diesemHinter-grund geldpolitische Implikationen.
Ein größerer Anteil der in den letzten Jahren vorgenommenen Unternehmensakquisitionen wurde maßgeblich mit attraktiven Synergieerwartungen begründet. Bei näherer Betrachtung können diese Synergien oft nur wenig präzise quantifiziert und der Zeitpunkt ihrer Realisierung nur ungenau eingeordnet werden. Der vorliegende Beitrag zeigt die Bedeutung von Synergien in Verbindung mit dem Goodwill, grenzt die Kosten- und Umsatzsynergien inhaltlich ab und befasst sich auf der Basis zahlreicher Studien mit dem aktuellen Erkenntnisstand in Verbindung mit der Vorbereitung und Realisierung von Kosten- und Umsatzsynergien.
Biomimetics is a well-known approach for technical innovation. However, most of its influence remains in the academic field. One option for increasing its application in the practice of technical design is to enhance the use of the biomimetic process with a step-by-step standard, building a bridge to common engineering procedures. This article presents the endeavor of an interdisciplinary expert panel from the fields of biology, engineering science, and industry to develop a standard that links biomimetics to the classical processes of product development and engineering design. This new standard, VDI 6220 Part 2, proposes a process description that is compatible and connectable to classical approaches in engineering design. The standard encompasses both the solution-based and the problem-driven process of biomimetics. It is intended to be used in any product development process for more biomimetic applications in the future.
Robot arms are one of many assistive technologies used by people with motor impairments. Assistive robot arms can allow people to perform activities of daily living (ADL) involving grasping and manipulating objects in their environment without the assistance of caregivers. Suitable input devices (e.g., joysticks) mostly have two Degrees of Freedom (DoF), while most assistive robot arms have six or more. This results in time-consuming and cognitively demanding mode switches to change the mapping of DoFs to control the robot. One option to decrease the difficulty of controlling a high-DoF assistive robot arm using a low-DoF input device is to assign different combinations of movement-DoFs to the device’s input DoFs depending on the current situation (adaptive control). To explore this method of control, we designed two adaptive control methods for a realistic virtual 3D environment. We evaluated our methods against a commonly used non-adaptive control method that requires the user to switch controls manually. This was conducted in a simulated remote study that used Virtual Reality and involved 39 non-disabled participants. Our results show that the number of mode switches necessary to complete a simple pick-and-place task decreases significantl when using an adaptive control type. In contrast, the task completion time and workload stay the same. A thematic analysis of qualitative feedback of our participants suggests that a longer period of training could further improve the performance of adaptive control methods.
Nowadays, robots are found in a growing number of areas where they collaborate closely with humans. Enabled by lightweight materials and safety sensors, these cobots are gaining increasing popularity in domestic care, where they support people with physical impairments in their everyday lives. However, when cobots perform actions autonomously, it remains challenging for human collaborators to understand and predict their behavior, which is crucial for achieving trust and user acceptance. One significant aspect of predicting cobot behavior is understanding their perception and comprehending how they “see” the world. To tackle this challenge, we compared three different visualization techniques for Spatial Augmented Reality. All of these communicate cobot perception by visually indicating which objects in the cobot’s surrounding have been identified by their sensors. We compared the well-established visualizations Wedge and Halo against our proposed visualization Line in a remote user experiment with participants suffering from physical impairments. In a second remote experiment, we validated these findings with a broader non-specific user base. Our findings show that Line, a lower complexity visualization, results in significantly faster reaction times compared to Halo, and lower task load compared to both Wedge and Halo. Overall, users prefer Line as a more straightforward visualization. In Spatial Augmented Reality, with its known disadvantage of limited projection area size, established off-screen visualizations are not effective in communicating cobot perception and Line presents an easy-to-understand alternative.
Fruits (follicles) of Hakea salicifolia and Hakea sericea (Proteaceae) are characterised by pronounced lignification and open via a ventral suture and the dorsal side. The opening along both sides is unique within the Proteaceae. Both serotinous species are obligate seeders, whose spreading benefits from bush fire events. The different tissues and the course of the vascular bundles must allow the opening mechanism. While their 2D-arrangements are known to some extent from light-microscopy images of cross-sections, this work presents their three-dimensional structures and discusses their contribution to the opening of Hakea fruits. For this purpose, 3D greyscale images, reconstructed from µCT-projection data of both fruits are segmented, assisted by a deep learning algorithm (AI algorithm). 3D renderings from these segmentations show strongly interconnected vascular bundles that build a double-dome shaped network in each valve of H. salicifolia and a dome shaped honeycomb-structure in each valve of H. sericea. However, the vascular bundles of both species show no interconnection between the two lateral valves of the fruit but leave gaps for predetermined fracture tissues on the ventral and dorsal side. The opening of the fruits after a fire or after separation from the mother plant can be explained by the anisotropic shrinkage in the two valves of the fruit.
We investigated the formation of Artemia franciscana swarms of freshly hatched instar I nauplii larvae. Nauplii were released into light gradients but then interrupted by light-direction changes, small obstacles, or long barriers. All experiments were carried out horizontally. Each experiment used independent replicates. Freshly produced Artemia broods were harvested from independent incubators thus providing true replicate cohorts of Artemia subjected as replicates to the experimental treatments.
We discovered that Artemia nauplii swarms can: 1. repeatedly react to non-obstructed light gradients that undergo repeated direction-changes and do so in a consistent way, 2. find their way to a light source within maze-like arrangements made from small transparent obstacles, 3. move as a swarm around extended transparent barriers, following a light gradient. This paper focuses on the recognition of whole-swarm behaviors, the description thereof and the recognition of differences in whole-swarm movements comparing non-obstructed swarming with swarms encountering obstacles. Investigations of the within-swarm behaviors of individual Artemia nauplii and their interactions with neighboring nauplii are in progress, e.g. in order to discover the underlying swarming algorithms and differences
thereof comparing non-obstructed vs. obstructed pathways.
The concept of molecular scaffolds as defining core structures of organic molecules is utilised in many areas of chemistry and cheminformatics, e.g. drug design, chemical classification, or the analysis of high-throughput screening data. Here, we present Scaffold Generator, a comprehensive open library for the generation, handling, and display of molecular scaffolds, scaffold trees and networks. The new library is based on the Chemistry Development Kit (CDK) and highly customisable through multiple settings, e.g. five different structural framework definitions are available. For display of scaffold hierarchies, the open GraphStream Java library is utilised. Performance snapshots with natural products (NP) from the COCONUT (COlleCtion of Open Natural prodUcTs) database and drug molecules from DrugBank are reported. The generation of a scaffold network from more than 450,000 NP can be achieved within a single day.
Im zweiten Corona-Winter sollen die Schulen offenbleiben. Neben Fenster- und mechanischer Lüftung werden mobile Raumluftreiniger als sinnvolle Maßnahmen angesehen, um das Infektionsrisiko zu reduzieren. Dabei stellt sich die Frage, wie deren sicherer und zuverlässiger Betrieb gestalten sein muss. Gibt es bevorzugte Aufstellpositionen im Raum und wie wirkt sich die Luftbewegung auf die Behaglichkeit aus? Die Datenlage hierzu ist noch unzureichend (vgl. HLH-Interview mit Dr. Gommel, HLH 10/2021). Diese Fragen werden für einen typischen Seminar- und Klassenraum näher beleuchtet.
Zentrale Raumlufttechnische Anlagen (RLT-Anlagen) sind für Betriebszeiten von fünfzehn und mehr Jahren konzipiert. Nicht selten werden die Geräte auch nach 25 Jahren Dank Retrofit weiterbetrieben. Unberücksichtigt bleibt dabei, ob die zukünftigen, klimatischen Bedingungen noch der Auslegung entsprechen. Zur Überprüfung der klimatischen Änderungen können sogenannte Testreferenzjahre (TRY – Test Reference Year) genutzt werden. Diese basieren für die heutige Auslegung auf den lokalen, stündlichen Wetterbedingungen im Bezugsjahr 2012 und zusätzlich auf modellbasierten Wetterdaten für das Bezugsjahr 2045.
Das Zentralluftgerät einer Krankenhaus-Intensivstation wurde für die 15 Wetter¬stationen der VDI 4710, Blatt 3 in Deutschland auf die Leistungsanforderungen von heute und für das Jahr 2045 untersucht. Zusätzlich wurden für den Standort Berlin die aktuellen Wetteraufzeichnungen im Sommer 2020 betrachtet. Daraus lassen sich Rückschlüsse ziehen, wie sich städtische Wärmeinseln (UHI – Urban Heat Islands) zukünftig auf den Energie- und Leistungsbedarf zur Gebäudeklimatisierung auswirken werden.
Die Auswirkungen auf die Wärme- und Kältespitzenleistung sowie der kumulierte Energiebedarf werden genauso analysiert wie der Befeuchtungsbedarf. Hieraus lassen sich die potenziellen Leistungsreserven abschätzen und die Klimaresilienz der Anlagentechnik bewerten.
We study the dynamics of a quantum two-state system driven through an avoided crossing under the influence of a super-Ohmic environment. We determine the Landau–Zener probability employing the numerical exact quasi-adiabatic path integral and a Markovian weak coupling approach. Increasing the driving time in the numerical protocol, we find converged results which shows that super-Ohmic environments only influence the Landau Zener probability within a finite crossing time window. This crossing time is qualitatively determined by the environmental cut-off energy. At weak coupling, we show that the Markovian weak coupling approach provides an accurate description. Since pure dephasing of a super-Ohmic bath is non-Markovian, this highlights that pure dephasing hardly influences the Landau–Zener probability. The finite crossing time window, thus, results from the suppression of relaxation once the energy splitting exceeds the environmental cut-off energy.
A quantum two-level system immersed in a sub-Ohmic bath experiences enhanced low-frequency quantum statistical fluctuations which render the nonequilibrium quantum dynamics highly non-Markovian. Upon using the numerically exact time-evolving matrix product operator approach, we investigate the phase diagram of the polarization dynamics. In addition to the known phases of damped coherent oscillatory dynamics and overdamped decay, we identify a new third region in the phase diagram for strong coupling showing an aperiodic behavior. We determine the corresponding phase boundaries. The dynamics of the quantum two-state system herein is not coherent by itself but slaved to the oscillatory bath dynamics.
We propose a quantum-mechanical model to calculate the nonlinear differential conductance of a single molecular junction immersed in a solvent, either in pure form or as a binary mixture with varying volume fraction. The solvent mixture is captured by a dielectric continuum model for which the resulting spectral density is determined within the Gladstone-Dale approach. The conductance of the molecular junction is calculated by a real-time diagrammatic technique. We find a strong variation of the conductance maximum for varying volume fraction of the solvent mixture. Importantly, the calculated molecular nonlinear conductance shows a very good agreement with experimentally measured data for common molecular junctions in various polar solvent mixtures.
To address the question which neocortical layers and cell types are important for the perception of a sensory stimulus, we performed multielectrode recordings in the barrel cortex of head-fixed mice performing a single-whisker go/no-go detection task with vibrotactile stimuli of differing intensities. We found that behavioral detection probability decreased gradually over the course of each session, which was well explained by a signal detection theory-based model that posits stable psychometric sensitivity and a variable decision criterion updated after each reinforcement, reflecting decreasing motivation. Analysis of multiunit activity demonstrated highest neurometric sensitivity in layer 4, which was achieved within only 30 ms after stimulus onset. At the level of single neurons, we observed substantial heterogeneity of neurometric sensitivity within and across layers, ranging from nonresponsiveness to approaching or even exceeding psychometric sensitivity. In all cortical layers, putative inhibitory interneurons on average proffered higher neurometric sensitivity than putative excitatory neurons. In infragranular layers, neurons increasing firing rate in response to stimulation featured higher sensitivities than neurons decreasing firing rate. Offline machine-learning-based analysis of videos of behavioral sessions showed that mice performed better when not moving, which at the neuronal level, was reflected by increased stimulus-evoked firing rates.
Daten sind heute die Schlüsselkomponente in der Wertschöpfung. Ihre sichere und vertrauenswürdige Verarbeitung sind daher essenziell - auch in Cloud-Infrastrukturen, die per se erst mal nicht vertrauenswürdig sind. Während die Daten und der Code der sie verarbeitenden Anwendung hier in gespeicherter Form und bei der Übertragung in der Regel verschlüsselt sind, liegt beides während der Verarbeitung von Anwendungen in einer Cloud-Infrastruktur im Klartext vor und ist somit angreifbar. Auf der Basis von Sicherheitsfunktionen der CPU sorg Confidential Computing dafür, dass Anwendungen mit Code und Daten auf Cloud-Infrastrukturen in isolierter und verschlüsselter Form in sicheren Enklaven verarbeitet werden. Die Inhalte der Anwendung in einer Enklave werden so vor unbefugten Zugriff durch Systemadministratoren und weiteren Personen, die prinzipiell Zugriff auf die Cloud-Infrastruktur haben, geschützt. Technik unterstützt auf diese Weise die sichere und vertrauenswürdige Umsetzung des Datenschutzes.