Bad time to be humble! When and why leaders should not be humble

PurposeAlthough leader humility is generally considered a positive leadership behavior, this study aims to examine when the positive influences of leader humility are likely weakened.Design/methodology/approachData were collected from a two-wave survey. Ordinary least squares regression analyses were conducted to test the hypotheses.FindingsAlthough leader humility is positively related to perceived leader support, this relationship is weakened when the environment is uncertain, resulting in comparatively lower follower performance.Practical implicationsLeaders should be aware that environmental constraints may weaken the desired outcomes of humility and therefore adapt leadership to situational needs.Originality/valueContrasting to predominant research on leader humility, this study examines a critical boundary condition by which its positive influences are compromised. In light of the disruption caused by the ongoing COVID-19, this study suggests that what usually are considered positive characteristics of leader humility are likely perceived as little leader support when the environment is uncertain. Findings of this study echo contingency leadership theories, which suggest that effective leadership should be context-dependent.

On the naturalisation of teleology: self-organisation, autopoiesis and teleodynamics

In recent decades, several theories have claimed to explain the teleological causality of organisms as a function of self-organising and self-producing processes. The most widely cited theories of this sort are variations of autopoiesis, originally introduced by Maturana and Varela. More recent modifications of autopoietic theory have focused on system organisation, closure of constraints and autonomy to account for organism teleology. This article argues that the treatment of teleology in autopoiesis and other organisation theories is inconclusive for three reasons: First, non-living self-organising processes like autocatalysis meet the defining features of autopoiesis without being teleological; second, organisational approaches, whether defined in terms of the closure of constraints, self-determination or autonomy, are unable to specify teleological normativity, that is, the individuation of an ultimate beneficiary; third, all self-organised systems produce local order by maximising the throughput of energy and/or material (obeying the maximum entropy production (MEP) principle) and thereby are specifically organised to undermine their own critical boundary conditions. Despite these inadequacies, an alternative approach called teleodynamics accounts for teleology. This theory shows how multiple self-organising processes can be collectively linked so that they counter each other’s MEP principle tendencies to become codependent. Teleodynamics embraces – not ignoring – the difficulties of self-organisation, but reinstates teleology as a radical phase transition distinguishing systems embodying an orientation towards their own beneficial ends from those that lack normative character.

Motion fluency effects on object preference is limited to learned context

Recently, Flavell et al. (2019) demonstrated that an object’s motion fluency (how smoothly and predictably it moves) influences liking of the object itself. Though the authors demonstrated learning of object-motion associations, participants only preferred fluently associated objects over disfluently associated objects when ratings followed a moving presentation but not a stationary presentation. In the presented experiment, we tested the possibility that this apparent failure of associative learning / evaluative conditioning was due to stimulus choice. To do so we replicate part of the original work but change the ‘naturally stationary’ household object stimuli with winged insects which move in a similar way to the original motions. Though these more ecologically valid stimuli should have facilitated object to motion associations, we again found that preference effects were only apparent following moving presentations. These results confirm the potential of motion fluency for ‘in the moment’ preference change, and they demonstrate a critical boundary condition that should be considered when attempting to generalise fluency effects across contexts such as in advertising or behavioural interventions.

Leveraging Cloud Computing and High Performance Computing (HPC) Advances for Next Generation Projects and Technologies

The scene of cloud computing has essentially changed throughout the most recent decade. Not just have more providers and administration contributions have barged in the space, yet additionally, cloud foundation that was generally restricted to single providers data centers is currently advancing. In this paper, we initially talk about the changing cloud foundation and consider the utilization of framework from numerous providers and the advantage of decentralizing computing ceaselessly from data centers. These patterns have brought about the requirement for a variety of new computing architectures that will be offered by future cloud framework. These models are predicted to affect certain areas, for example, connecting individuals and devices, data-intensive computing, the service space, and self-learning frameworks. At long last, we spread out a guide of difficulties that should be tended to for understanding the capability of cutting edge cloud frameworks. Architectural and metropolitan design ventures are continually breaking barriers of scale and unpredictability and consistently look for improved proficiency, maintainability, building energy performance, and cost-efficiency. Simulation and largescale information processing are presently the basic components of this cycle. Ongoing advances in calculations and computational force offer a way to address the complicated elements of a coordinated entire structure framework. Nonetheless, adaptability is a critical boundary to the acknowledgment of entire structure frameworks devices for configuration, control, and improvement. This position paper presents a bunch of strategies, for example, quick plan boundary space exploration, large-scope high accuracy simulation, and integrated multi-disciplinary improvement for semi-or completely automated projects. These procedures are very computing escalated, and have customarily just been accessible to the examination network. Be that as it may, once empowered by advances in cloud computing and high-performance computing, these procedures can encourage the intelligent plan measure bringing about improved results and decreased advancement process durations.

Dynamical Ising model of spatially coupled ecological oscillators

Long-range synchrony from short-range interactions is a familiar pattern in biological and physical systems, many of which share a common set of ‘universal’ properties at the point of synchronization. Common biological systems of coupled oscillators have been shown to be members of the Ising universality class, meaning that the very simple Ising model replicates certain spatial statistics of these systems at stationarity. This observation is useful because it reveals which aspects of spatial pattern arise independently of the details governing local dynamics, resulting in both deeper understanding of and a simpler baseline model for biological synchrony. However, in many situations a system’s dynamics are of greater interest than their static spatial properties. Here, we ask whether a dynamical Ising model can replicate universal and non-universal features of ecological systems, using noisy coupled metapopulation models with two-cycle dynamics as a case study. The standard Ising model makes unrealistic dynamical predictions, but the Ising model with memory corrects this by using an additional parameter to reflect the tendency for local dynamics to maintain their phase of oscillation. By fitting the two parameters of the Ising model with memory to simulated ecological dynamics, we assess the correspondence between the Ising and ecological models in several of their features (location of the critical boundary in parameter space between synchronous and asynchronous dynamics, probability of local phase changes and ability to predict future dynamics). We find that the Ising model with memory is reasonably good at representing these properties of ecological metapopulations. The correspondence between these models creates the potential for the simple and well-known Ising class of models to become a valuable tool for understanding complex biological systems.