Fakultet for naturvitenskap og teknologi: Nye registreringer
Viser treff 2001-2020 av 5336
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Novel DYRK1A Inhibitor Rescues Learning and Memory Deficits in a Mouse Model of Down Syndrome
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-17)Down syndrome (DS) is a complex genetic disorder associated with substantial physical, cognitive, and behavioral challenges. Due to better treatment options for the physical co-morbidities of DS, the life expectancy of individuals with DS is beginning to approach that of the general population. However, the cognitive deficits seen in individuals with DS still cannot be addressed pharmacologically. ... -
A Multimodal Feature Selection Method for Remote Sensing Data Analysis Based on Double Graph Laplacian Diagonalization
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-13)When dealing with multivariate remotely sensed records collected by multiple sensors, an accurate selection of information at the data, feature, or decision level is instrumental in improving the scenes’ characterization. This will also enhance the system’s efficiency and provide more details on modeling the physical phenomena occurring on the Earth’s surface. In this article, we introduce a flexible ... -
On the applicability of Taylor's hypothesis, including small sampling velocities
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-03)Taylor's hypothesis, or the frozen turbulence approximation, can be used to estimate also the specific energy dissipation rate ϵ by comparing experimental results with the Kolmogorov–Obukhov expression. The hypothesis assumes that a frequency detected by an instrument moving with a constant large velocity <i><b>V</i></b> can be related to a wavenumber by <i><b>ω=kV</i></b>. It is, however, not obvious ... -
Data-augmented sequential deep learning for wind power forecasting
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-15)Accurate wind power forecasting plays a critical role in the operation of wind parks and the dispatch of wind energy into the power grid. With excellent automatic pattern recognition and nonlinear mapping ability for big data, deep learning is increasingly employed in wind power forecasting. However, salient realities are that in-situ measured wind data are relatively expensive and inaccessible and ... -
Automatic Selection of Relevant Attributes for Multi-Sensor Remote Sensing Analysis: A Case Study on Sea Ice Classification
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-07-26)It is of considerable benefit to combine information obtained from different satellite sensors to achieve advanced and improved characterization of sea ice conditions. However, it is also true that not all the information is relevant. It may be redundant, corrupted, or unnecessary for the given task, hence decreasing the performance of the algorithms. Therefore, it is crucial to select an optimal ... -
Planetary radar science case for EISCAT 3D
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-05-12)Ground-based inverse synthetic aperture radar is a tool that can provide insights into the early history and formative processes of planetary bodies in the inner solar system. This information is gathered by measuring the scattering matrix of the target body, providing composite information about the physical structure and chemical makeup of its surface and subsurface down to the penetration ... -
The CPV “toolbox”: New approaches to maximizing solar resource utilization with application-oriented concentrator photovoltaics
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-03)As the scaling of silicon PV cells and module manufacturing has driven solar energy penetration up and costs down, concentrator photovoltaic technologies, originally conceived as a cost-saving measure, have largely been left behind. The loss of market share by CPV is being locked in even as solar energy development encounters significant obstacles related to space constraints in many parts of ... -
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-02-19)Gastrointestinal (GI) endoscopy has been an active field of research motivated by the large number of highly lethal GI cancers. Early GI cancer precursors are often missed during the endoscopic surveillance. The high missed rate of such abnormalities during endoscopy is thus a critical bottleneck. Lack of attentiveness due to tiring procedures, and requirement of training are few contributing factors. ... -
Multiresolution Dynamic Mode Decomposition (mrDMD) of Elastic Waves for Damage Localisation in Piezoelectric Ceramic
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-08-27)The performance of piezoelectric sensors deteriorated due to the presence of defect, delamination, and corrosion that needed to be diagnosed for the effective implementation of the structural health monitoring (SHM) framework. A novel experimental approach based on Coulomb coupling is devised to visualise the interaction of ultrasonic waves with microscale defects in the Lead Zirconate Titanate (PZT). ... -
ThermoSlope: A Software for Determining Thermodynamic Parameters from Single Steady-State Experiments
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-26)The determination of the temperature dependence of enzyme catalysis has traditionally been a labourious undertaking. We have developed a new approach to the classical Arrhenius parameter estimation by fitting the change in velocity under a gradual change in temperature. The evaluation with a simulated dataset shows that the approach is valid. The approach is demonstrated as a useful tool by ... -
Anti-Colonization Effect of Au Surfaces with Self-Assembled Molecular Monolayers Functionalized with Antimicrobial Peptides on S. epidermidis
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-12-10)Medical devices with an effective anti-colonization surface are important tools for combatting healthcare-associated infections. Here, we investigated the anti-colonization efficacy of antimicrobial peptides covalently attached to a gold model surface. The gold surface was modified by a self-assembled polyethylene glycol monolayer with an acetylene terminus. The peptides were covalently connected ... -
The Mask: Masking the effects of Edge Nodes being unavailable
(Mastergradsoppgave; Master thesis, 2021-11-15)The arctic tundra is observed to collect data to be used for climate research. Data can be collected by cyber-physical computers with sensors. However, the arctic tundra has a limited availability of energy. Consequently, the nodes rely on batteries and sleep most of the time to increase the battery-limited operational lifetime. In addition, only a few nodes can expect to be in reach of a back-haul ... -
Synthesis of 5,7-diarylindoles via Suzuki-Miyaura coupling in water
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-16)The synthesis of novel 5,7-diaryl and diheteroaryl indoles has been explored via efficient double Suzuki–Miyaura coupling. The method notably employs a low catalyst loading of Pd(PPh<sub>3</sub>)<sub>4</sub> (1.5 mol%/coupling) and water as the reaction solvent to obtain 5,7-diarylated indoles without using N-protecting groups in up to 91% yield. The approach is also suitable for N-protected and ... -
Monitoring a changing Arctic: Recent advancements in the study of sea ice microbial communities
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-25)Sea ice continues to decline across many regions of the Arctic, with remaining ice becoming increasingly younger and more dynamic. These changes alter the habitats of microbial life that live within the sea ice, which support healthy functioning of the marine ecosystem and provision of resources for human-consumption, in addition to influencing biogeochemical cycles (e.g. air–sea CO2 exchange). With ... -
Relativistic Four-Component DFT Calculations of Vibrational Frequencies
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-29)We investigate the effect of relativity on harmonic vibrational frequencies. Density functional theory (DFT) calculations using the four-component Dirac–Coulomb Hamiltonian have been performed for 15 hydrides (H<sub>2</sub>X, X = O, S, Se, Te, Po; XH<sub>3</sub>, X = N, P, As, Sb, Bi; and XH<sub>4</sub>, X = C, Si, Ge, Sn, Pb) as well as for HC≡CPbH<sub>3</sub>. The vibrational frequencies have been ... -
Surface-based Ku-and Ka-band polarimetric radar for sea ice studies
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-12-04)To improve our understanding of how snow properties influence sea ice thickness retrievals from presently operational and upcoming satellite radar altimeter missions, as well as to investigate the potential for combining dual frequencies to simultaneously map snow depth and sea ice thickness, a new, surface-based, fully polarimetric Ku- and Ka-band radar (KuKa radar) was built and deployed ... -
The Dog That Didn't Bark: A New Interpretation of Hypsoporphyrin Spectra and the Question of Hypsocorroles
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-11-11)Nearly a half-century after Gouterman classified the UV–vis–NIR spectra of porphyrin derivatives as normal, hyper, or hypso, we propose a heretofore unsuspected “mechanism” underlying hypso spectra. Hypsoporphyrins, which exhibit blueshifted optical spectra relative to normal porphyrins (such as Zn porphyrins), typically involve dn transition metal ions, where n > 6. The spectral blueshifts have ... -
Synthesis, Spectroscopy, Electrochemistry and DFT of Electron-Rich Ferrocenylsubphthalocyanines
(Journal article; Tidsskriftartikkel; Peer reviewed, 2020-06-01)A series of novel ferrocenylsubphthalocyanine dyads Y-BSubPc(H)<sub>12</sub> with ferrocenylcarboxylic acids Y-H = (FcCH<sub>2</sub>CO<sub>2</sub>-H), (Fc(CH<sub>2</sub>)<sub>3</sub>CO<sub>2</sub>-H) or (FcCO(CH<sub>2</sub>)<sub>2</sub>CO<sub>2</sub>-H) in the axial position were synthesized from the parent Cl-BSubPc(H)<sub>12</sub> via an activated triflate-SubPc intermediate. UV/Vis data revealed ... -
A Theoretical Analysis of Deep Neural Networks and Parametric PDEs
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-02)We derive upper bounds on the complexity of ReLU neural networks approximating the solution maps of parametric partial differential equations. In particular, without any knowledge of its concrete shape, we use the inherent low dimensionality of the solution manifold to obtain approximation rates which are significantly superior to those provided by classical neural network approximation results. ... -
Möbius and coboundary polynomials for matroids
(Journal article; Tidsskriftartikkel; Peer reviewed, 2021-06-28)We study how some coefficients of two-variable coboundary polynomials can be derived from Betti numbers of Stanley–Reisner rings. We also explain how the connection with these Stanley–Reisner rings forces the coefficients of the two-variable coboundary polynomials and Möbius polynomials to satisfy certain universal equations.