This work proposes a Bayesian inference method for the reduced-order modeling of time-dependent systems. Informed by the structure of the governing equations, the task of learning a reduced-order model from data is posed as a Bayesian inverse problem with Gaussian prior and likelihood. The resulting posterior distribution characterizes the operators defining the reduced-order model, hence the pred

Agriculture is a backbone of the Indian economy, nowadays farmers are facing manpower problem, it may be due to migration of the manpower, and they need to manage the infinite resources in agriculture. Computer application for precise management is a novel weapon to increase the utilization of resources efficiently. Crop-dusting is a farmer's tedious, repetitive work, which drones will take over t

A successful vaccination program depends on secure vaccine storage as well as safe and effective vaccine delivery. An Internet of Things (IoT) based vaccine distribution and monitoring model, which is used to transport and monitor vaccines to locations where they will be properly kept for eventual use, is developed and tested. Coronavirus (COVID-19) was first identified in December 2019 in Wuhan c

As a generalization of the work in [Lee et al., 2017], this note briefly discusses when the prior of a neural network output follows a Gaussian process, and how a neural-network-induced Gaussian process is formulated. The posterior mean functions of such a Gaussian process regression lie in the reproducing kernel Hilbert space defined by the neural-network-induced kernel. In the case of two-layer

The first book in this exciting new series, written and edited by a group of international experts in the field, this exciting new volume covers the latest advances and challenges in the next generation of antennas. Antenna design and wireless communication has recently witnessed their fastest growth period ever in history, and these trends are likely to continue for the foreseeable future. Due to

Context. Transmission spectroscopy is one of the most powerful techniques used to characterize transiting exoplanets, since it allows for the abundance of the atomic and molecular species in the planetary atmosphere to be measured. However, stellar lines may bias the determination of such abundances if their center-To-limb variations (CLVs) are not properly accounted for. Aims. This paper aims to

Machine learning models can analyze physiological data, such as electroencephalography (EEG), for various classification tasks. One such task is Auditory Attention Decoding (AAD), aimed at identifying the sound a person is actively attending to, offering significant benefits for users of hearing aids. However, EEG data often exhibits a low signal-to-noise ratio, and its collection is often expensi

In normal colon tissue, oestrogen receptor alpha (ERα) is expressed at low levels, while oestrogen receptor beta (ERβ) is considered the dominant subtype. However, in colon carcinomas, the ERα/β ratio is often increased, an observation that prompted us to further investigate ERα’s role in colorectal cancer (CRC). Here, we assessed ERα nuclear expression in 351 CRC patients. Among them, 119 exhibit

Quest for harnessing clean and affordable electricity has increased renewable energy installations, especially the rooftop solar photovoltaic (PV) systems in many residential homes; simultaneously, such homes are connected to the utility grid for reliable energy service, creating a hybrid power supply system (HPSS). However, the most stressful challenge with the HPSS is the confounding condition o

Purpose: The aim was to investigate the use of multiple small VOIs for kidney dosimetry in [177Lu]Lu-DOTA-TATE therapy. Method: The study was based on patient and simulated SPECT images in anthropomorphic geometries. Images were reconstructed using two reconstruction programs (local LundaDose and commercial Hermia) using OS-EM with and without resolution recovery (RR). Five small VOIs were placed

The bond strength between concrete and corroded steel reinforcement bar is one of the main responsible factors that affect the ultimate load-carrying capacity of reinforced concrete (RC) structures. Therefore, the prediction of accurate bond strength has become an important parameter for the safety measurements of RC structures. However, the analytical models are not enough to estimate the bond st

Background: Knowledge is sparse on the impact of type 2 diabetes (T2D) on surgical outcomes after breast cancer surgery. This study investigated the association between T2D and risk of complications after primary breast cancer surgery, and evaluated the biological interaction between T2D and co-morbidities. Methods: Using the Danish Breast Cancer Group clinical database, a cohort of all Danish wom

Context. To be able to investigate the chemical history of the entire Milky Way, it is imperative to also study its dust-obscured regions in detail, as this is where most of the mass lies. The Galactic Center is an example of such a region. Due to the intervening dust along the line of sight, near-infrared spectroscopic investigations are necessary to study this region of interest.Aims. The aim of

AimsWe aimed to investigate the association between the exercise systolic blood pressure (SBP) response and future hypertension (HTN) in normotensive individuals referred for cycle ergometry, with special regard to reference exercise SBP values and exercise capacity.Methods and resultsIn this longitudinal cohort study, data from 14 428 exercise tests were cross-linked with Swedish national registr

This work proposes a stochastic variational deep kernel learning method for the data-driven discovery of low-dimensional dynamical models from high-dimensional noisy data. The framework is composed of an encoder that compresses high-dimensional measurements into low-dimensional state variables, and a latent dynamical model for the state variables that predicts the system evolution over time. The t

Previous research has indicated an association between the presence of the vitamin D receptor (VDR) in breast cancer tissue and a favorable prognosis. This study aimed to further evaluate the prognostic potential of VDR located in the nuclear membrane or nucleus (liganded). The VDR protein levels were analyzed using immunohistochemistry in tumor samples from 878 breast cancer patients from Lund, S

Background: Gaming disorder (GD) has been introduced as a new diagnosis in the International Classification of Disease 11 (ICD-11). Currently, there's limited understanding of how various video games may differentially contribute to the risk of developing GD. The main aim of this study was to examine the relationship between individuals' game genre preferences, their preferred games' monetization

A phase-field ductile fracture formulation for orthotropic paperboard materials is proposed, based on an anisotropic, multi-surface elastoplastic model describing the in-plane behavior of paperboard. A variational statement for the finite-step elastoplastic problem is extended to include the variational description of Griffith-type brittle fracture by a phase-field gradient term. The interaction b

Sveriges föreningskultur bidrar till att miljontals individer årligen får ta del av idrottens positiva effekter, såsom förhöjd fysisk och mental hälsa. Även samhället gynnas av en aktiv befolkning gällande exempelvis integration. Utan ideellt engagemang hade inte detta varit möjligt och det är därför av stor vikt att föreningsaktiva har tillgång till digitala verktyg som underlättar deras vardag oPromoting a healthy lifestyle through a user friendly website builder Sweden’s prominent sports club culture engages millions of people in an active lifestyle every year, benefitting both the individual and the society. Therefore, it is crucial to provide user friendly digital tools to help with administration of these associations. This master’s thesis has resulted in a digital tool that will h