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A note on the lilypond model

We consider some generalizations of the germ-grain growing model studied by Daley, Mallows and Shepp (2000). In this model, a realization of a Poisson process on a line with points Xi is fixed. At time zero, simultaneously at each Xi, a circle (grain) starts growing at the same speed. It grows until it touches another grain, and then it stops. The question is whether the point zero is eventually c

Vertex-reinforced jump processes on trees and finite graphs

We study the continuous time process on the vertices of the b-ary tree which jumps to each nearest neighbor vertex at the rate of the time already spent at that vertex times δ, plus 1, where δ is a positive constant. We show that for fixed b > 1, if δ is large enough the process is transient, and if δ is close enough to zero it is recurrent. Related results for some other graphs and trees are also

Invariances and the Number Concept

Cognitive scientists Spelke and Kintzler (2007) and Carey (2009) identify objects, actions, space and numbers as “core domains of knowledge” that are essential for conceptualizing the world. Gärdenfors (2019, 2020) argues that objects, actions and space are characterized by invariances in sensory signals. In this paper, we extend the analysis of invariances to the domain of numbers (understood as

Early versus delayed anticoagulation in acute ischemic stroke with atrial fibrillation according to infarct volume and location : A prespecified subgroup analysis of the OPTIMAS randomized controlled trial

Background: Randomized trials have demonstrated that early anticoagulation after acute atrial fibrillation-associated ischemic stroke is safe and non-inferior to delayed initiation. Whether anticoagulation should be delayed in people with larger infarcts is uncertain. Aims: To investigate whether ischemic stroke infarct volume, measured precisely by segmentation, modifies the treatment effect of e

Hierarchical dynamics and time-length scale superposition in glassy suspensions of ultra-low crosslinked microgels

We employ small-angle x-ray and dynamic light scattering to investigate the microscopic structure and dynamics of dense suspensions of ultra-low crosslinked (ULC) poly(N-isopropylacrylamide) microgels. By probing the supercooled and glassy regimes, we characterize the relationship between the structure and dynamics as a function of effective volume fraction φ and probed length scale. We demonstrat

Percolation of the loss of tension in an infinite triangular lattice

We introduce a new class of bootstrap percolation models where the local rules are of a geometric nature as opposed to simple counts of standard bootstrap percolation. Our geometric bootstrap percolation comes from rigidity theory and convex geometry. We outline two percolation models: a Poisson model and a lattice model. Our Poisson model describes how defects - holes is one of the possible inter

Packet Delay in Models of Data Networks

We investigate individual packet delay in a model of data networks with table-free, partial table and full table routing. We present analytical estimation for the average packet delay in a network with small partial routing table. Dependence of the delay on the size of the network and on the size of the partial routing table is examined numerically. Consequences for network scalability are discuss

Molecular Genetic Pathology of Soft Tissue Tumors

Genetic analyses are now routinely used as an adjunct to traditional morphologic and immunohistochemical investigations in the diagnosis of many neoplasms, including soft tissue tumors. Many genetic features are strongly associated with morphologic features, and a rapidly growing subset of mutations promise to shed light on patient outcome. This chapter discusses major molecular pathogenetic featu

LAS17 The productive city

Contemporary urban development has produced a consistent blind spot: the systematic exclusion of productive activities from the city. While recent decades have delivered dense, attractive, and programmatically “mixed” environments, this mix has largely been limited to housing, offices, and consumption. Production, making, repairing, storing, and recycling has been relocated elsewhere.The 2017 Annu

Secure on Paper: Attacking Post-Quantum Cryptography in Practice

The transition to post-quantum cryptography is well underway. Driven by the recognition that Shor's algorithm would render all widely deployed asymmetric cryptosystems insecure in the presence of a sufficiently capable quantum computer, the cryptographic community has spent the past decade designing, evaluating, and standardizing a new generation of public-key primitives. In 2024, ML-KEM became th

Machine Learning for Longitudinal Medical Data Analysis : Applications in Prostate Cancer and Alzheimer’s Disease

The healthcare systems of today are facing large challenges, with increasing amounts of patients and overworked hospital staff. Prostate cancer and Alzheimer’s disease are two of the most prevalent diseases, with incidence numbers expected to rise over the coming decade. Medical imaging plays a central role in current diagnostic procedures for these diseases, enabling the potential use of machine-

From Lone Wolf to Collective Action: Increasing Gender Diversity in the Swedish Energy Sector

Despite Sweden's consistently high ranking in international gender-equality indices and a higher-than-average percentage of women in leadership roles, women remain a minority in the Swedish energy sector. This article traces how women, positioned as a minoritized group within this male-dominated field, develop the motivation to collectively challenge systemic inequality. The aim of the study is to

CADET-Hub: Online platform for biomanufacturing modeling and stability testing

Biomanufacturing increasingly relies on computational modeling to strengthen process understanding, speed up process development, scale-up and scale-down, improve experimental design, and reduce reliance on costly and laborious wet lab activities. Here we present CADET-Hub, a modular web-based platform for biomanufacturing and stability modeling, developed within the Inno4Vac project. CADET-Hub un

Towards optimized spark ignition for hydrogen and biogas heavy-duty engines

Heavy-duty transport is one of the major contributors to global greenhouse gas (GHG) emissions, with internal combustion engines (ICEs) expected to remain an important propulsion technology in long-haul applications during the transition to sustainable transport. The use of renewable gaseous fuels such as biogas and hydrogen offers a promising pathway to significantly reduce the climate impact of

The Problem With Efficiency as a Pervasive Principle in Business School Academia, and What a Sufficiency-Based Approach Can Do Better

Efficiency is a pervasive yet insufficiently challenged managerial principle and an integral part of business school academia. However, while there is compelling evidence that efficiency gains can have severe undesirable social and ecological consequences that reduce overall welfare both in terms of well-being and natural resources, business school academsia remains ill-equipped to adequately unde

Re-thinking interest : The communal economics of Kenyan table-banks

The chapter explores the communal economics of Kenyan table-banks—grassroots savings and loan groups known as chamas—as an alternative financial model rooted in collective effort and mutual support. Through ethnographic insights from rural and urban Kenya, the chapter examines how table-banks transform savings, credit, and interest from individual transactions into a shared commons. Unlike Western

Ränteavdragets effekt på bostadsmarknaden i Malmö

Det svenska ränteavdraget är en omdiskuterad skattepolitisk åtgärd som ofta anses bidra till både hög skuldsättning och driva upp bostadspriser, samtidigt som det underlättar för hushåll med svag ekonomi genom minskande boendekostnader. Det finns osäkerheter kring vilka ekonomiska konsekvenser som sker vid avskaffande, särskilt på lokal nivå. Ränteavdraget är ett avdrag som minskar den skatt du bThe Swedish mortgage interest deduction is a central tax policy instrument that influences both household debt and housing prices. This study examines how the removal of the interest deduction would affect the housing market in Malmö, a city experiencing population growth and limited land availability. The analysis is based on a counterfactual simulation using actual transaction data and mortgage

Predicting atmospheric propagation of radio frequency waves using meteorological data and the split-step parabolic equation

This thesis, along with the Propagation Predictor written in MATLAB, offers a quick and easy way of predicting how Electromagnetic (EM)-waves will propagate given the current atmospheric situation. While the thesis is written with the goal of explaining choice and phenomena, the Propagation Predictor is built with the goal of not requiring deep knowledge of neither EM-waves nor meteorology. Meteor