Publications

Group leaders play a vital role in divided cities, particularly in local problem-solving and in everyday contestations. Their role as negotiators makes them perfectly positioned to promote urban processes for the group to which they belong but also raises questions regarding their loyalty. Seeking to understand these individuals’ thinking, this study asks how leaders from different groups in a divided city explain their development as leaders. Utilizing a life-story approach, we present a narrative analysis of 40 life-stories, as told by local leaders representing the main social groups in Jerusalem. Our findings suggest that leaders from different groups use distinctive narratives to ensure their relevancy: “The Homecomer,” used by Israeli-Jews; “The Middleman,” used by Palestinian-Arabs; and “The Pathfinder,” used by Israeli Ultraorthodox-Jews. More importantly, we found that all these leaders share a similar mind-set, what we call leadership development as discovery. Indeed, their development includes formative events that differentiate them from their community, helping them to see the divided city from a different perspective and positioning them as leaders. Understanding and acknowledging this spatial aspect in their narratives can be a first step in facilitating group collaborations, empowering local leaders, and even leading to the emergence of new ones. Our implications go beyond divided cities and can be further studied in ordinary cities.

Do the leaders of minority communities in divided cities influence group members’ expressed willingness to engage politically with rival groups? Studies typically link group members’ willingness to engage with rival groups to direct contact between individuals from opposing groups. However, such contact is problematic in divided cities, wherein opportunities to interact are scarce and frowned upon. Focusing on the contested urban space of Jerusalem, we find indications that the diverse nature of community leadership in East Jerusalem can influence Palestinian residents’ attitudes towards political engagement with Israeli authorities via municipal elections. The ‘middlemen’ role can explain community leaders’ influence in divided cities. They facilitate indirect contact between their constituents and the other group’s members or institutions. Our analysis employs original data from a public opinion survey conducted among Palestinian residents of East Jerusalem immediately prior to the Jerusalem 2018 municipal elections. It has ramifications regarding urban governance for other divided cities.

Over the past decade, rapid technological advancements and budget constraints have increased the demand for online education (Martin et al., 2020). Furthermore, the COVID-19 pandemic has vastly accelerated this trend, compelling almost all education providers to migrate their courses to online learning platforms (Theelen & Van Breukelen, 2022). In view of other profound crises that affect mobility, such as climate change, political instabilities and future pandemics, it is safe to assume that online learning will remain in demand, even in a post-pandemic world ) (Bayne et al., 2020). In this context, while educational research  has  made  significant  progress  in  establishing  design  principles  that  ensure  effective  online teaching  and  learning,  the  main  focus  of  this  scholarly  work  is  on  the  acquisition  of  declarative knowledge  and  cognitive  skills.  Moreover,  since  very  little  is  known  about  the  online  teaching  and distance  learning  of  psychomotor skills  (Kouhia  et  al.,  2021;  Lehtiniemi  et  al.,  2023),  this  paper  and 
exhibition  explore  how  eye-tracking  technology  (ETT)  creates  unique  opportunities  to  improve  craft education in hybrid and distant learning settings.

In quantitative content analysis, conventional wisdom holds that reliability, operationalized as agreement, is a necessary precondition for validity. Underlying this view is the assumption that there is a definite, unique way to correctly classify any instance of a measured variable. In this intervention, we argue that there are textual ambiguities that cause disagreement in classification that is not measurement error, but reflects true properties of the classified text. We introduce a notion of valid disagreement, a form of replicable disagreement that must be distinguished from replication failures that threaten reliability. We distinguish three key forms of meaning multiplicity that result in valid disagreement – ambiguity due to under-specification, polysemy due to excessive information, and interchangeability of classification choices – that are widespread in textual analysis, yet defy treatment within the confines of the existing content-analytic toolbox. Discussing implications, we present strategies for addressing valid disagreement in content analysis.

Directed self-assembly of block copolymers is evolving toward applications that are more defect-tolerant but still require high morphological control and could benefit from simple, inexpensive fabrication processes. Previously, we demonstrated that simply casting ultra-thin block copolymer films on topographically defined substrates leads to hierarchical structures with dual patterns in a controlled manner and unraveled the dependence of the local morphology on the topographic feature dimensions. In this article, we discuss the extreme of the ultraconfined thickness regime at the border of film dewetting. Additional non-bulk morphologies are observed at this extreme, which further elaborate the arsenal of dual patterns that could be obtained in coexistence with full placement control. It is shown that as the thickness confinement approaches its limit, lateral confinement imposed by the width of the plateaus becomes a critical factor influencing the local morphology.

Solutes added to buffered solutions directly impact protein folding. Protein stabilization by cosolutes or crowders has been shown to be largely driven by protein–cosolute volume exclusion complemented by chemical and soft interactions. By contrast to previous studies that indicate the invariably destabilizing role of soft protein–sugar attractions, we show here that soft interactions with sugar cosolutes are protein-specific and can be stabilizing or destabilizing. We experimentally follow the folding of two model miniproteins that are only marginally stable but in the presence of sugars and polyols fold into representative and distinct secondary structures: β-hairpin or α-helix. Our mean-field model reveals that while protein–sugar excluded volume interactions have a similar stabilizing effect on both proteins, the soft interactions add a destabilizing contribution to one miniprotein but further stabilize the other. Using molecular dynamics simulations, we link the soft protein–cosolute interactions to the weakening of direct protein–water hydrogen bonding due to the presence of sugars. Although these weakened hydrogen bonds destabilize both the native and denatured states of the two proteins, the resulting contribution to the folding free energy can be positive or negative depending on the amino acid sequence. This study indicates that the significant variation between proteins in their soft interactions with sugar determines the specific response of different proteins, even to the same sugar.

The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages. These developments span a wide range of topics in computational chemistry and are presented in thematic sections: electronic structure theory, electronic spectroscopy simulations, analytic gradients and molecular structure optimizations, ab initio molecular dynamics, and other new features. This report offers an overview of the chemical phenomena and processes OpenMolcas can address, while showing that OpenMolcas is an attractive platform for state-of-the-art atomistic computer simulations.The developments of the open-source OpenMolcas chemistry software environment since spring 2020 are described, with a focus on novel functionalities accessible in the stable branch of the package or via interfaces with other packages. These developments span a wide range of topics in computational chemistry and are presented in thematic sections: electronic structure theory, electronic spectroscopy simulations, analytic gradients and molecular structure optimizations, ab initio molecular dynamics, and other new features. This report offers an overview of the chemical phenomena and processes OpenMolcas can address, while showing that OpenMolcas is an attractive platform for state-of-the-art atomistic computer simulations.