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The advent of optogenetic tools has had a profound impact on modern neuroscience research, revolutionizing our understanding of the brain. These tools offer a remarkable ability to precisely manipulate specific groups of neurons with an unprecedented level of temporal precision, on the order of milliseconds. This breakthrough has significantly advanced our knowledge of various physiological and pa
The paper investigates further an approach to modeling dynamically changing Gaussian spatio-temporal fields. In that approach, the dynamics are introduced by embedding deterministic velocities into a stochastic spatio-temporal Gaussian model. In this way, a dynamically inactive stochastic field with given spatial and temporal covariance structure gains dynamics that in general follow a determinist
Abstract Title: Branded applications - Function triumphs Brand? -An exploratory study of branded applications’ role in the brand building process Date of the Seminar: 2013.05.29 Course: BUSN29, Degree project in Global marketing Authors: Vukcevic, Lidia and Willgottson, Malin Supervisor: Elg, Ulf Keywords: Brand building process, High/low involvement brands, Mobile marketing, Branded applica
This master thesis discusses the growth of radical right wing political parties in Europe. The point of departure is the theoretical framework, which consists of four chosen theories, trying to explain the reason behind the increasing support for radical right wing parties among the voters in Finland and Hungary. The theories are postindustrial developments, a legitimacy crisis for political insti
Toxin-antitoxin-chaperone (TAC) systems are three-part gene clusters encoding a toxin, antitoxin, and specialized SecB-like chaperone (SecB TA) with emerging roles in phage defense. To identify and classify SecB homologs and associated TACs across bacteria, we surveyed the full RefSeq database. Phylogenetic and gene neighborhood analyses reveal three major SecB subfamilies: two housekeeping groups
This work investigates lightweight personalisation of micro-electro-mechanical systems (MEMS)-based wearables using a public padel database as a case study. We compare a centralised CNN model, single-user models and two fine-tuning schemes (full and last-layer) on wrist-worn IMU data from 23 players and 13 stroke classes. Personalised models with data augmentation achieve weighted F1-scores above
The training of the state-of-the-art Deep Neural Networks (DNNs) consumes massive amounts of energy, while the human brain learns new tasks with remarkable efficiency. Currently, the training of DNNs relies almost exclusively on Backpropagation (BP). However, BP faces criticism due to its biologically implausible nature, underscoring the significant disparity in performance and energy efficiency b
Today, the overwhelming majority of Internet of Things (IoT) and mobile edge devices have extreme resource limitations, e.g., in terms of computing, memory, and energy. As a result, training Deep Neural Networks (DNNs) using the complex Backpropagation (BP) algorithm on such edge devices presents a major challenge. Forward-only algorithms have emerged as more computation- and memory-efficient alte
Ferroelectric thin films present a powerful platform for next-generation computing and memory applications. However, domain morphology and dynamics in buried ferroelectric stacks have remained underexplored, despite their importance for real device performance. Here, nanoprobe X-ray diffraction (nano-XRD) is used to image ferroelectric domains inside BiFeO3-based capacitors, revealing local disord
Machine Learning (ML) offers many opportunities, but its reliance on personal data raises privacy concerns. One such example is the Membership Inference Attack (MIA), which aims to determine whether a specific data point was part of a model’s training dataset. In this paper, we investigate this attack on Random Forests (RFs) and propose a method to quantify their vulnerability to MIA. We also demo
Vision impairment increases risks such as social isolation, mobility challenges, and falls. Wearable Augmented Reality (AR) devices with Artificial Intelligence (AI) can enhance sensory perception by enabling real-time recognition of obstacles, assisting visually impaired individuals during street navigation, aiming to reduce the risk of falls. In this paper, we propose a Federated Learning (FL) f
Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time
Since recently, Vestas Northern Europe has been facing a buyers’ market with more demanding customers than before. In addition, a rapid growth and a restrictive risk policy have caused inefficiency within the organization. The purpose is to investigate how the efficiency in the sales phase can be increased in advantage for additional projects to be handled. The efficiency is to be increased withou
The report aims to determine and explain differences in the cost structures of the Detailed Energy Audit-phase of Energy Performance Contracting-projects at Schneider Electrics Energy Solutions in Denmark and Sweden. Method: A longitudinal and a cross-dimensional study are conducted on eight projects. Quantitative data collected from project documentation and qualitative data acquired through inte
The purpose of this master thesis is to explore IKEA’s return system and to suggest potential areas of improvement. The master thesis shall describe and identify the problems regarding handling material of the present return system, in order to suggest potential areas of improvement. This master thesis is an explorative study. Wide ranges of interviews were made and are the base of the study. Ob
In our contemporary age, the name praise song has got a special meaning, roughly defined as: a song consisting of a rather short text that is sung over and over again, set to music in some contemporary popular style, directed by a worship leader, and accompanied by a team with instruments that may be unusual in church, as el-guitars and drums. The phenomenon is described and critically evaluated.
We compare different procedures for combining fixed-order tree-level matrix element generators with parton showers. We use the case of W-production at the Tevatron and the LHC to compare different implementations of the so-called CKKW scheme and one based on the so-called MLM scheme using different matrix element generators and different parton cascades. We find that although similar results are o
