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The Impact of Urban Green Spaces on Housing Prices in New York City

This study examines the impact of newly built parks on housing prices in New York City between 2011 and 2023. The case of New York City is especially interesting due to its high amount of new urban greening projects during the last few decades. Related to the different benefits of urban greening, there is evidence that parks increase the desirability of a neighborhood and thereby raise property va

Facing climate reality for waterfront areas

Throughout history, human civilisation and wildlife have instinctively settled close to water and coastlines out of necessity for resources. It has always been a natural instinct, yet we have also continually adapted to weather conditions and relocated when resources were found elsewhere. We have always been flexible and mobile, adapting to nature and allowing it to lead and guide us. With the ris

ECHOES OF STEEL AND SEA: Sustainable Regeneration of the Former Shipyard in Tianjin, China

Global post-industrial cities face the dual challenge of sustaining growth while repairing damaged ecosystems. Industrialization has left profound scars on both ecological networks and the urban fabric, demanding systematic spatial regeneration and environmental repair. Among these, abandoned brownfields hold unique potential: they offer opportunities to reshape urban structures, restore ecologica

Unimodal and Cross-Modal Iconicity in Japanese Ideophones: A cognitive-semiotic approach

Drawing on concepts from cognitive semiotics and phenomenology, this thesis investigates how Japanese ideophones are perceived by non-speakers of Japanese, aiming to clarify key concepts such as iconicity, cross-modality/unimodality and the ultimately the nature of language as a semiotic system. Three research questions guided the study: (1) What is the relation between primary and secondary iconi

Flexibly linked and isomeric piperidinium-based anion exchange membrane with enhanced alkaline stability for durable alkaline water electrolysis

A critical challenge in developing anion exchange membrane (AEM) water electrolysis is to design high-performance AEMs with chemical and mechanical stability under harsh alkaline environments. Herein, we report the rational design and synthesis of QP(T-3-Pip) featuring flexibly linked isomeric piperidinium cations via a Friedel-Crafts polyhydroxyalkylation between terphenyl and commercial 3-piperi

Perceptual structure of opposites across sensory modalities

Situated at the junction of Cognitive Semantics and Experimental Phenomenology, this study investigates how participants perceive the structure of 18 perceptual dimensions of opposites across the visual, auditory, tactile, gustatory and olfactory sensory modalities. The structures include three components: two poles (HIGH; LOW) and an intermediate (NEITHER HIGH NOR LOW). Participants were asked to

A New Division of Power

The Age of Liberty gave rise to a unique form of government in Sweden, the world’s first Freedom of the Press Act and civil rights. Beliefs that those in power should be loyal to the people not to God or the monarch, mark the beginning of profound social changes that took hold with the European Enlightenment.

Speaking Up in Public to Win Women's Votes : The 1921 Election Campaign of the Swedish National Federation of Social Democratic Women

This article examines how Swedish social democratic women used the enactment of universal suffrage in 1919/1921 as an argument to gain support for separate organising. The article also analyses the extent to which the Swedish National Federation of Social Democratic Women, founded in 1920, used direct (personal) and indirect (media) channels for voter communication. Both scarce economic resources

Improving auditory attention decoding in noisy environments for listeners with hearing impairment through contrastive learning

Objective. This study aimed to investigate the potential of contrastive learning to improve auditory attention decoding (AAD) using electroencephalography (EEG) data in challenging cocktail-party scenarios with competing speech and background noise. Approach. Three different models were implemented for comparison: a baseline linear model (LM), a non-LM without contrastive learning (NLM), and a no

Women’s Work, Women’s Networks : Correspondence and Knowledge Circulation Between the Polish Research Institute in Lund and Survivor Historical Commissions in the Early Postwar Period

Research on early postwar documentation efforts related to the Second World War and the Holocaust conducted by survivors of Nazi persecution has expanded over the past two decades. Yet, research on how knowledge circulatedtween these efforts – especially across various “borders” – is still nascent. This chapter seeks to gain a better understanding of the role of women’s informalworks during the ea

History of Intellectual Culture 4/2025 : Gender, Archiving, and Knowledge Production after the Holocaust. A Postwar Republic of Letters?

The fourth issue of the yearbook History of Intellectual Culture (HIC) features a thematic section on the production of knowledge related to the Holocaust. The contributions focus on the circulation of knowledge via letters and other forms of written communication within and among survivor historical commissions after the Second World War with an emphasis on the interplay of gender and other diffe

Review Essay: The Europeanisation of the Universities : An Emerging Topic of Historical Research

In this review essay, the authors discuss new scholarly literature on the Europeanisation of the universities. This field has recently started to attract increasinginterest among historians, partly as a new way of writing the history ofthe European integration and the so-called knowledge society. The authors reviewfive books that approach these questions by means of different methods and perspecti

A sampling-based algorithm for planning smooth nonholonomic paths

The ability to navigate in an environment is essential to the autonomy of mobile robots and unmanned autonomous vehicles. Informally, path planning computes a collision-free path from a start location to a goal location in a known environment. Computing such paths accounting for the kinematics of the robot is a problem widely addressed in the literature, often focusing on feasibility and optimalit

Multiagent connected path planning : pspace-completeness and how to deal with it

In the Multiagent Connected Path Planning problem (MCPP), a team of agents moving in a graph-represented environment must plan a set of start-goal joint paths which ensures global connectivity at each time step, under some communication model. The decision version of this problem asking for the existence of a plan that can be executed in at most a given number of steps is claimed to be NP-complete

Exploiting structure and uncertainty of Bellman updates in Markov decision processes

In many real-world problems stochasticity is a critical issue for the learning process. The sources of stochasticity come from the transition model, the explorative component of the policy or, even worse, from noisy observations of the reward function. For a finite number of samples, traditional Reinforcement Learning (RL) methods provide biased estimates of the action-value function possibly lead

Gradient-based minimization for multi-expert Inverse Reinforcement Learning

We present a model-free method for solving the Inverse Reinforcement Learning (IRL) problem given a set of trajectories generated by different experts' policies. In many applications, the observed demonstrations are not produced by the same policy. In fact, they may be provided by multiple experts that follow different (but similar) policies or even by the same expert that does not always replicat

Distilling contact planning for fast trajectory optimization in Robot Air Hockey

Robot control through contact is challenging as it requires reasoning over long horizons and discontinuous system dynamics. Highly dynamic tasks such as Air Hockey additionally require agile behavior, making the corresponding optimal control problems intractable for planning in realtime. Learning-based approaches address this issue by shifting computationally expensive reasoning through contacts t