Magnetite is a common mineral in the Paleoproterozoic Stollberg Zn–Pb–Ag plus magnetite ore field (~6.6 Mt of production), which occurs in 1.9 Ga metamorphosed felsic and mafic rocks. Mineralisation at Stollberg consists of magnetite bodies and massive to semi-massive sphalerite–galena and pyrrhotite (with subordinate pyrite, chalcopyrite, arsenopyrite and magnetite) hosted by metavolcanic rocks and skarn. Magnetite occurs in sulfides, skarn, amphibolite and altered metamorphosed rhyolitic ash–siltstone that consists of garnet–biotite, quartz–garnet–pyroxene, gedrite–albite, and sericitic rocks. Magnetite probably formed from hydrothermal ore-bearing fluids (~250–400°C) that replaced limestone and rhyolitic ash–siltstone, and subsequently recrystallised during metamorphism. The composition of magnetite from these rock types was measured using electron microprobe analysis and LA–ICP–MS. Utilisation of discrimination plots (Ca+Al+Mn vs. Ti+V, Ni/(Cr+Mn) vs. Ti+V, and trace-element variation diagrams (median concentration of Mg, Al, Ti, V, Co, Mn, Zn and Ga) suggest that the composition of magnetite in sulfides from the Stollberg ore field more closely resembles that from skarns found elsewhere rather than previously published compositions of magnetite in metamorphosed volcanogenic massive sulfide deposits. Although the variation diagrams show that magnetite compositions from various rock types have similar patterns, principal component analyses and element–element variation diagrams indicate that its composition from the same rock type in different sulfide deposits can be distinguished. This suggests that bulk-rock composition also has a strong influence on magnetite composition. Principal component analyses also show that magnetite in sulfides has a distinctive compositional signature which allows it to be a prospective pathfinder mineral for sulfide deposits in the Stollberg ore field.

The underlying theme of this essay is how intelligence was gathered and expertise dispersed in an emerging colonial environment in Africa, and how that knowledge was captured, credited and distributed between local Africans and (largely) itinerant Europeans. It sets that discussion within a more recent debate on the mechanics of European exploration during the wider nineteenth century. The expanded population of Europeans (officials, merchants, missionaries) that arrived in the later part of that century to consolidate the colonial enterprise in German East Africa often moved with initial uncertainty through the landscape, triggering a demand for topographical knowledge to become commodified and commercialised, to become less dependent on the knowledge of individuals. This demand fuelled the production of an innovative series of standardised grid maps. At a time when slavery was still legal, when the local workforce was increasingly discussed in colonial circles in terms of unskilled plantation labour, our essay explores two case studies that demonstrate how certain African experts came to exert key technical and management influence within long-term scientific and commercial projects unfolding in the southeast corner of what is today Tanzania. The matter of water flows through this essay, and does so with deliberate intent.

Firms in a nascent industry need to search across various technological trajectories and market opportunities with limited prior knowledge. While inter-firm learning (e.g., imitation) helps the focal firm adapt in the process of conformity, intra-firm learning (e.g., independent experimentation) helps a firm stand out from rivals in the process of differentiation, both of which can gain competitive advantages. This study investigates how the conformity-differentiation balance can be achieved from the cross-level learning perspective. Adopting a mixed-method design, we first conduct a case study on the Chinese photovoltaic industry. The case suggests that firms are inclined to conform in upstream and bottleneck technological domains but differentiate in the downstream market applications. We then extend the case findings through a computational simulation based on March's learning model. When experimentation and imitation are possible, the balance between conformity and differentiation can be reframed as the classical balance between exploitation and exploration across the firm and industry levels: while experimentation is often exploitative at the firm level but exploratory at the industry level, imitation is often exploratory at the firm level but exploitative at the industry level. The study makes a new attempt to bridge the optimal distinctiveness literature with the organizational learning literature.

It is known that wherever there is human interaction, there is social influence. Here, we refer to more influential individuals as “influencers”, who drive team processes for better or worst. Social influence gives rise to social learning, the propensity of humans to mimic the most influential individuals. As individual learning is affected by the presence of an influencer, so is an individual's idea generation . Examining this phenomenon through a series of human studies would require an enormous amount of time to study both individual and team behaviors that affect design outcomes. Hence, this paper provides an agent-based approach to study the effect of influencers during idea generation. This model is supported by the results of two empirical experiments which validate the assumptions and sustain the logic implemented in the model. The results of the model simulation make it possible to examine the impact of influencers on design outcomes, assessed in the form of exploration of design solution space and quality of the solution. The results show that teams with a few prominent influencers generate solutions with limited diversity. Moreover, during idea generation, the behavior of the teams with uniform distribution of influence is regulated by their team members' self-efficacy.

Imaginary worlds are extremely successful. The most popular fictions produced in the last decades contain such a fictional world. They can be found in all fictional media, from novels (e.g., Lord of The Ring, Harry Potter) to films (e.g., Star Wars, Avatar), video games (e.g., The Legend of Zelda, Final Fantasy), graphic novels (e.g., One piece, Naruto) and TV series (e.g., Star Trek, Game of Thrones), and they date as far back as ancient literature (e.g., the Cyclops Islands in The Odyssey, 850 BCE). Why such a success? Why so much attention devoted to nonexistent worlds? In this article, we propose that imaginary worlds co-opt our preferences for exploration, which have evolved in humans and non-human animals alike, to propel individuals toward new environments and new sources of reward. Humans would find imaginary worlds very attractive for the very same reasons, and under the same circumstances, as they are lured by unfamiliar environments in real life. After reviewing research on exploratory preferences in behavioral ecology, environmental aesthetics, neuroscience, and evolutionary and developmental psychology, we focus on the sources of their variability across time and space, which we argue can account for the variability of the cultural preference for imaginary worlds. This hypothesis can therefore explain the way imaginary worlds evolved culturally, their shape and content, their recent striking success, and their distribution across time and populations.

In human infants, exploratory object manipulation is a major vehicle for cognitive stimulation as well as an important way to learn about objects and basic physical concepts in general. The development of human infants’ exploratory object manipulation follows distinct developmental patterns. So far, the degree of evolutionary continuity of this developmental process remains unclear. We investigated the development of exploratory object manipulations in wild orangutans. Our data included 3200 exploration events collected on 13 immatures between the ages of 0.5 and 13 years, at the Suaq Balimbing monitoring station in Indonesia. Our results identify several parallels between the development of exploratory behaviour in humans and orangutans: on top of a highly similar overall age trajectory, we found an increase in variability of the actions used, an increase in the number of body parts involved in each event, and an overall decrease of mouthing of the objects. All in all, our results show that orangutans progress through a developmental sequence of different aspects of exploration behaviour. In combination with previous findings from captivity, our results also provide evidence that exploratory object manipulations reflect cognitive development and might function as a means of cognitive stimulation not just in humans but across the great apes.