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The dynamical random graphs associated with a certain class of biological neural networks are introduced and studied. We describe the phase diagram revealing the parameters of a single neuron and of the synaptic strengths which allow formation of the stable strongly connected large groups of neurons. It is shown that the cycles are the most stable structures when the Hebb rule is implemented into
The trend within fluid industry is towards continuous production, leading to an increasing demand for new and improved methods that allow real-time monitoring of quality parameters and fast process control. The consistency and viscosity can be described by fluid rheology and are frequently used as quality control parameters. Rheological properties can be correlated with product microstructure, the
Kolinfosfolipider, en nyttig kostkomponent vid alkoholfettlever, NAFLD och NASH?Åke Nilsson, Rui-Dong DuanBakgrundKolin (trimetyletanolamin) ingår i fosfatidylkolin (PC) och sfingomyelin (SM) som finns i alla cellmembraner och i plasmalipoproteiner, och i acetylkolin. Även om levern bildar en del kolin klassas kolin som ett essentiellt näringsämne. Kolinbrist ger bl a fettlever, muskelsymptom och
We propose a novel, real-time algorithm for recoloring images to improve the experience for a color vision deficient observer. The output is temporally stable and preserves luminance, the most important visual cue. It runs in 0.2 ms per frame on a GPU.
The interest in modelling, analysis and optimisation of supply chain structures has increased in the last decade. Among the reasons are globalisation, a general speed-up of the rate of change in the business environment, the trend towards more outsourcing of activities, and the rapid development in IT. This development has caused more and more people to realise the benefits of supply chain managem
Purpose: Evaluate the prediction of quantitative coronary angiography (QCA) values from MPI, by means of deep learning. Methods: 546 patients (67% men) undergoing stress 99mTc-tetrofosmin MPI in a CZT camera in the upright and supine position were included (1092 MPIs). Patients were divided into two groups: ICA group included 271 patients who performed an ICA within 6 months of MPI and a control g
The linear inverse problem associated with the standard model for hyperspectral image recovery from CASSI measurements is considered. This is formulated as the minimization of an objective function which is the sum of a total variation regularizer and a least squares loss function. Standard first-order iterative minimization algorithms, such as ISTA, FISTA and TwIST, require as input the value of
Poor survival for breast cancer in low- and middle-income countries is largely attributed to late-stage diagnosis and limited access to diagnostic tools. Therefore, we propose using point-of-care ultrasound (POCUS) as a low-cost diagnostic solution paired with a deep learning (DL) model for cancer detection. While using DL has shown great potential, it is crucial to ensure the trustworthiness of a
Incumbent firms face growing pressure to transform their business towards sustainability. However, business models for sustainability (BMfS) and circularity are grounded in fundamentally different institutional logic which, for incumbents, creates tensions with existing business models, structures and routines. How organizations manage tensions from conflicting logics is explored comprehensively i
Wildfire is one of the most important disturbances affecting boreal forests. Most previous research on boreal forest fires has occurred in North American forests which have different fire regimes, tree species and are less intensively managed than their Eurasian counterparts. Recent extreme fire years have highlighted the vulnerability of the Nordic boreal forest to climatic shifts that are increa
In this paper we present the differentiable log-Mel spectrogram (DMEL) for audio classification. DMEL uses a Gaussian window, with a window length that can be jointly optimized with the neural network. DMEL is used as the input layer in different neural networks and evaluated on standard audio datasets. We show that DMEL achieves a higher average test accuracy for sub-optimal initial choices of th
Time-difference-of-arrival (TDOA) estimation from GCC-PHAT is not always as straight forward as finding the maximum peak. This work views the GCC output as an image, with time on the vertical axis and TDOA horizontally, to explore if image-to-image machine learning methods can make a more robust filter. The Structure from Sound Database provides audio recorded with a distributed microphone setup a
This paper presents a neural network based semantic plane detection method utilizing polygon representations. The method can for example be used to solve room layout estimations tasks and is built on, combines and further develops several different modules from previous research. The network takes an RGB image and estimates a wireframe as well as a feature space using an hourglass backbone. From t
We present a versatile NeRF-based simulator for testing autonomous driving (AD) software systems, designed with a focus on sensor-realistic closed-loop evaluation and the creation of safety-critical scenarios. The simulator learns from sequences of real-world driving sensor data and enables reconfigurations and renderings of new, unseen scenarios. In this work, we use our simulator to test the res
Dust storms have been an increasing concern in the Middle East. Severe drought events and human activities, particularly water and land management, have led to emerging dust sources in the last few decades. This study combines spatio-temporal maps of land susceptibility to dust storm incidence with agricultural land use change data to examine the link between farming patterns and dust storm genera
HfO2, one of the most common materials in resistive switching devices, can stabilize in a ferroelectric orthorhombic phase, enabling two nonvolatile polarization states via oxygen displacement in the unit cell. Under certain conditions, ferroelectric and resistive switching can coexist, independently addressable, within one device. This study employs operando spectroscopic analysis to elucidate th
En prognosmodell för dimensionering av slutenvård, särskilt för gruppen äldre över 80 år. Oktober 2020, Malmö Sölve Elmståhl, Mats Pihlsgård, Johan Sanmartin Berglund, Laura Fratiglioni, Anders Wimo 2 Författarnas tack Den svenska nationella studien om åldrande, vård och omsorg – SNAC (Swedish National study on Aging and Care) initierades och stöds ekonomiskt av Socialdepartementet samt de deltaga
Metal joining remains an essential yet challenging process in manufacturing, particularly for components with small dimensions, multiplex, delicate geometries, or dissimilar metals, where conventional joining methods can be insufficient. Here, we introduce Gas Actuated Bonding (GAB), a novel joining method that employs gaseous melting-point-depressant (MPD) agents to induce a diffusion-active stat
