Filetype
We have prepared electrodes for photo-electro-chemical cells which have enabled to pre-charge colloidal quantum dots in well-controlled fashion. Femtosecond transient absorption measurements were carried out revealing clear speed-up of the photo-induced charge carrier dynamics, particularly the recombination. Such studies allow to understand the behavior of light harvesting materials in operationa
In massive multiple-input multiple-output (MIMO) systems, the large size of channel state information (CSI) matrix significantly increases the computational complexity of uplink detection and size of required memory to store the channel data. To address these challenges, we propose to perform detection in the angular domain, where the channel information can be presented in a more condensed way. T
The amount and quality of greenness in the local outdoor environment has repeatedly been linked to human well-being. Different types of green areas are likely required in order to meet the various needs of people throughout the course of their lives and with regard to individual social and economic living conditions. The aim of the present study was to increase the understanding of different pathw
Many studies suggest that increased exposure to urban greenness is associated with better population health. Accessing nature can in some circumstances, however, be difficult, especially for individuals with mobility constraints. Therefore, a growing body of work is investigating the ways to replace the in vivo experience with forms of “virtual” contact, in order to provide these individuals with
It is well known that computer vision can be unreliable when faced with previously unseen imaging conditions. This paper proposes a method to adapt camera parameters according to a normalizing flow-based out-of-distibution detector. A small-scale study is conducted which shows that adapting camera parameters according to this out-of-distibution detector leads to an average increase of 3 to 4% poin
Ensuring functional safety is a critical challenge for autonomous robots, as they must operate reliably and predictably despite uncertainty. However, existing safety measures can over-constrain the system, limiting the robot’s availability to perform its assigned task. To address this problem, we propose a more flexible strategy that equips robots with theability to adapt to system failures and re
Context: DevOps has recently become a mainstream solution for bridging the gaps between development (Dev) and operations (Ops) enabling cross-functional collaboration. The DevOps concept of continuous monitoring may bring a lot of benefits to development teams such as early detection of run-time errors and various performance anomalies. Objective: We aim to explore deep learning (DL) solutions for
Background: The first interim analysis of the phase III, randomized, double-blind, placebo-controlled, multinational TITAN study demonstrated improved overall survival (OS) and radiographic progression-free survival (rPFS) with apalutamide added to ongoing androgen deprivation therapy (ADT) in patients with metastatic castration-sensitive prostate cancer. The final analysis confirmed improvement i
Innovation literature shows that the characteristics of a company's innovation processes determine their performance in different areas. In this study, we adopt a general conceptual model from innovation theory and apply it to packaging innovation. This helps identify and describe subprocesses in packaging innovation and how to measure their performance. It also links the packaging innovation proc
Background: Molecular signatures in prostate cancer (PCa) tissue can provide useful prognostic information to improve the understanding of a patient's risk of harbouring aggressive disease. Objective: To develop and validate a gene signature that adds independent prognostic information to clinical parameters for better treatment decisions and patient management. Design, setting, and participants:
Assertions are one of the most useful automated techniques for checking program’s behaviour and hence have been used for different verification and validation tasks. We provide an overview of the last two decades of research involving ‘assertions’ in software testing. Based on a term–based search, we filtered the inclusion of relevant papers and synthesised them w.r.t. the problem addressed, the s
Intrinsically disordered proteins (IDPs) have a broad energy landscape and consequently sample many different conformations in solution. The innate flexibility of IDPs is exploited in their biological function, and in many instances allows a single IDP to regulate a range of processes in vivo. Due to their highly flexible nature, characterizing the structural properties of IDPs is not straightforw
Order Picking in warehouses is often optimized using a method known as Order Batching, which means that one vehicle can be assigned to pick a batch of several orders at a time. There exists a rich body of research on Order Batching Problem (OBP) optimization, but one area which demands more attention is computational efficiency, especially for optimization scenarios where warehouses have unconvent
Inflow Temperature is an important factor affecting the safety of propylene oxidation process. A soft-sensing model is proposed to monitor inflow temperature of the acrylic acid oxidation reactor. PSO-SVM method is used in the soft-sensing model. Five auxiliary variables, namely the top pressure P1, the top temperature T1, the bottom pressure P2, the bottom temperature T2 and the bottom temperatur
The purpose of the research thesis is to examine which steps are evident in the development of innovations in family businesses, and to determine which steps of the innovation process are affected by traditions and knowledge. An abductive method was used for the thesis, together with a qualitative research consisting of interviews with respondents from the two case study companies Engelholmsglass
Context. In the era of large spectroscopic surveys, massive databases of high-quality spectra coupled with the products of the Gaia satellite provide tools to outline a new picture of our Galaxy. In this framework, an important piece of information is provided by our ability to infer stellar ages, and consequently to sketch a Galactic timeline. Aims. We aim to provide empirical relations between s
We apply two sparse reconstruction techniques, the least absolute shrinkage and selection operator (LASSO) and the sparse exponential mode analysis (SEMA), to two-dimensional (2D) spectroscopy. The algorithms are first tested on model data, showing that both are able to reconstruct the spectra using only a fraction of the data required by the traditional Fourier-based estimator. Through the analys
