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Lean Startup has been impacting how startups and incumbents innovate their business models. However, academic understanding of Lean Startup and the associated experimentation process is only emerging. Recent academic critique of Lean Startup by Felin and colleagues (in press) highlights the inadequate guidance provided for hypotheses generation; limits of experiential learning from customer feedba
In the present paper, linear substructures with nonlinearities localized at their interfaces, such as the joints in a beam structure, are studied. By subdivision of the total structure into substructures, reduced subsystems are obtained by component mode synthesis. Nonlinear elements are introduced at supports or between substructures. A numerical example is presented where a beam subjected to bla
Deficiency of ornithine-δ-aminotransferase (OAT) in humans results in gyrate atrophy. Early diagnosis may allow initiation of treatment before irreversible damage has occurred. However, diagnosis is commonly delayed well into adulthood because of the nonspecific character of initial symptoms. Here, we report findings in a neonate who was evaluated because of a positive family history of OAT defici
Event-based sampling has been proposed as a general technique for lowering the average communication rate, energy consumption and computational burden in remote state estimation. However, the design of the event trigger is critical for good performance. In this paper, we study the combination of innovation-based triggering and state estimation of nonlinear dynamical systems using the particle filt
Background: OncoMasTR is a new multigene prognostic test that was discovered via a novel transcriptional network analysis method that identified upstream Master Transcription Regulators (MTRs), which regulate previously identified prognostic biomarkers. The optimised OncoMasTR signature incorporating clinicopathological information has been shown to be significantly prognostic for predicting dista
Vehicle-to-vehicle (V2V) wireless communications can improve traffic safety at road intersections and enable congestion avoidance. However, detailed knowledge about the wireless propagation channel is needed for the development and realistic assessment of V2V communication systems. We present a novel geometry-based stochastic MIMO channel model with support for frequencies in the band of 5.2-6.2 G
Running-in process of low metallic brake pads and cast iron discs are investigated using full scale inertia brake dynamometer designed for particle emission studies. The airborne particles are measured using ELPI+ and collected on filters. The pads and disc contact surfaces are studied using microscopy techniques. It is observed that the particle emissions from the new pads and discs are significa
Background and aims Persistent neck pain is common and can be detrimental to the health of those who are affected. This is particularly common after neck trauma, where it poses a challenge to health care providers. In this paper, we present the design and results of a study aimed primarily at assessing the feasibility of a supervised exercise intervention for patients with persistent neck pain aft
The heat flux method is advantageous for obtaining adiabatic stretch-less flame and measuring laminar burning velocity, SL, with low uncertainty. However, its implementation is sometimes hampered by the instability, manifested as cellularity of the flame stabilized over a flat perforated burner. This paper summarizes the approaches of flame cellularity abatement on the heat flux burner, which are
Desalination can be a cost-effective way to produce fresh water and possibly electricity. The Gaza Strip has had a complex hydro-political situation for many years. Gaza is bordered by the Mediterranean sea in the west, by Israel in the north and east and by Egypt in the south. Water and electricity consumption in the Gaza Strip is expected to increase in the future due to the increasing in popula
There is a long tradition, especially in phycology, of using 18S rDNA sequences in inferring phylogenies, in particular for higher taxonomic level analysis. 18S like ITS2 displays a conserved RNA secondary structure which could be used simultaneously with the sequence to increase the amount of information available when inferring phylogenetic relationships. In ITS2 research sequence-structure phyl
Klimatförändringar orsakade av antropogena faktorer har en ökande effekt på både naturliga och humana system. Klimatförändringar bidrar till en förändring av varaktigheten, frekvensen och intensiteten av extrema väderhändelser (som till exempel stormar, översvämningar och värmeböljor). Några exempel på konsekvenser från klimatförändringar på de humana systemen är förlust av liv, förlust av egendomThe changing climate caused by anthropogenic factors has an increasing effect on natural and human systems. There is therefore an increasing need for society to adapt to the effects of climate change (IPCC, 2012; Rescalvo et al., 2013) This is vital since the effects of climate change are already being noticed in many parts of the world (Rescalvo et al., 2013). However, municipalities in Sweden ge
Interdisciplinary teams are considered to be of great importance for addressing complex problems of the present and future, as they are able to address the complexity of society’s most pressing issues such as climate change, or healthcare solutions. They can be found in multiple areas concerned with future- related problems. Research on specific fields such as healthcare and social work suggests t
This thesis examines how female-targeting fintech firms can internationalize in ways that genuinely promote financial inclusion for women. Conducted as an exploratory interview study with Female Invest, it builds on the broader observation that gender remains largely absent from fintech’s outlook. The study addresses two key research gaps. First, financial inclusion efforts often overlook how cult
The bulk of Norwegian offshore oil and gas platforms are self-sustained with energy, burning a portion of the extracted gas in turbines to power production. Replacing this energy with electricity from renewables – electrifying – has been put forward as a way to quickly slash domestic emissions. This, all while retaining and expanding fossil fuel production, whose lion’s share of emissions stem not
Biometric fingerprint recognition is a cornerstone of modern authentication systems, yet conventional convolutional neural network approaches often struggle with challenging cases, subjected to noise and partial overlap. This thesis explores the potential of transformer-based architectures to address these challenges. We design, implement, and evaluate five models on a large-scale dataset of over
The dune regions of the Curonian Spit are undergoing a gradual deflation and transformation towards a vegetated surface as a result of extensive forestation and dune stabilization efforts limiting sand input to the dunes. Current dune monitoring in the Spit relies mostly on field levelling, whereas radar interferometry – used extensively in land surface monitoring elsewhere – is not utilized. This
Electrocardiogram (ECG) is an important tool for diagnosing myocardial infarction (MI), but analyzing the ECG signals can sometimes be difficult for physicians. Machine learning could potentially help provide a fast and consistent interpretation of ECG signals. This study aims to evaluate the performance of different machine learning models for classifying MI using ECG data from the PTB-XL dataset
