Followership research has increased recently, but little attention has been paid to the complexities and challenges of creating a followership identity. Researchers typically portray followership as a safe alternative to leadership identity, but we challenge this assumption by using naturally occurring workplace interactions to identify active contributions as well as risks associated with a follo

A chapter on leadership in interaction might appear to address an odd topic, because many observers would contend that interaction is integral to all leadership. However, empirical studies of the processes of interaction are relatively rare in the leadership field. In recent years, though, this perspective has been emerging; therefore, this chapter will present and discuss this emergent work while

We propose that a recently discovered event-related potential (ERP) component—the pre-activation negativity (PrAN)—indexes the predictive strength of phonological cues, including segments, word tones, and sentence-level tones. Specifically, we argue that PrAN is a reflection of the brain’s anticipation of upcoming speech (segments, morphemes, words, and syntactic structures). Findings from a long

This paper analyzes the problem and requirements of securely distributing software updates over the Internet,to devices in an Industrial Control System (ICS) and more generally in Internet of Things (IoT) infrastructurescontrolling a physical system, such as power grids and water supply systems. We present a novel approachthat allows to securely distribute software updates of different types, e.g.

The common Deep Eutectic Solvent (DES) ‘ethaline’ (1:2 choline chloride:ethylene glycol) was examined here as a basis for the self-assembly of the surfactant dodecyltrimethylammonium bromide (C12TAB). A phase diagram was constructed, showing evidence for a L1 (micellar) phase, confirmed by tensiometry to have a room temperature critical micelle concentration (CMC) of 1.2 wt.%. Small angle neutron

The recent revolution in structural prediction methods has made modeling novel protein structures a feasible analysis method. In particular, the Alphafold protocol can produce accurate models with atomic resolution. This work aims to model multiple novel toxin-antitoxin systems and to understand the interactions of their components through structural prediction and interface analysis. Structural p

Accurate communication of the severity of violence in intimate relations is essential for the appropriate evaluation of offenders and victims in contexts such as court trials, custody cases, and the continuation of relationships. Using a new paradigm, this study quantifies discrepancies in how the severity of violence is communicated in texts written by offenders, victims, and bystanders who witne

Deformable object manipulation tasks have long been regarded as challenging robotic problems. However, until recently very little work has been done on the subject, with most robotic manipulation methods being developed for rigid objects. Deformable objects are more difficult to model and simulate, which has limited the use of model-free Reinforcement Learning (RL) strategies, due to their need fo

In the last 50 years the role of fathers in western societies as considerably changed, as demonstrated by an increasing body of research in social, human and psychological sciences. Although fathers are increasingly involved in family life, gender equality in both family and working life is still far from being achieved, and socially stressful situations such as the COVID-19 pandemic are exacerbat

Learning generative models and inferring latent trajectories have shown to be challenging for time series due to the intractable marginal likelihoods of flexible generative models. It can be addressed by surrogate objectives for optimization. We propose Monte Carlo filtering objectives (MCFOs), a family of variational objectives for jointly learning parametric generative models and amortized adapt

Recent advances in machine learning have triggered an enormous interest in using learning-based approaches for robot control and object manipulation. While the majority of existing algorithms are evaluated under the assumption that the involved bodies are rigid, a large number of practical applications contain deformable objects. In this work we focus on Deformable Linear Objects (DLOs) which can

In this letter, we propose a task-based role allocation control scheme for the cooperative manipulation of a rigid-body object held jointly by a human and a robot. The task-based allocation scheme allows an assistive robot to take an active role when the task is known. To deal with the translation/rotation problem, we define rotation and translation as distinct parameterized tasks. The task that d

We present a recipe for building a portable DIY toolkit, entitled Kitchen-Based Light Tomography (KBLT) for performing tomography using visible light with low-cost and easily accessible components. We also present different use cases to mimic different challenges in tomography, such as imaging time evolving samples. All the software for motor controls, image acquisition, image reconstruction and a

In-situ characterization of combusting iron particles is of great importance for understanding the combustion mechanism. Here, magnified holographic imaging is employed to investigate the transient morphology and dynamics of iron particles during combustion. The volume expansion behavior of combusting particles (mean diameter: 85 μm) is observed in situ. The particle volume increases to eight time

Recent work showing a strong quality improvement of the Si/SiO2 material system by low temperature atomic hydrogen annealing (AHA), and the fact that III-V semiconductors outperform Si in many applications makes the investigation of AHA on III-V/high-k interfaces to a very interesting topic. In this work, the potential of AHA as a low temperature annealing treatment of InGaAs metal-oxide-semicondu

Hypothesis: Owing to structural similarities between sulfobetaine lipids and phospholipids it should be possible to form stable Langmuir monolayers from long tail sulfobetaines. By modification of the density of lipid tail group (number of carbon chains) it should also be possible to modulate the two-dimensional phase behaviour of these lipids and thereby compare with that of equivalent phospholip

Improvements in the efficiency of combustion within a vehicle can lead to reductions in the emission of harmful pollutants and increased fuel efficiency. Gas sensors have a role to play in this process, since they can provide real time feedback to vehicular fuel and emissions management systems as well as reducing the discrepancy between emissions observed in factory tests and 'real world' scenari