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Your search for "my instagram has been phished 【Visit Sig8.com】9ZP42K8.AWg9" yielded 84228 hits

Improving prediction of heart transplantation outcome using deep learning techniques

The primary objective of this study is to compare the accuracy of two risk models, International Heart Transplantation Survival Algorithm (IHTSA), developed using deep learning technique, and Index for Mortality Prediction After Cardiac Transplantation (IMPACT), to predict survival after heart transplantation. Data from adult heart transplanted patients between January 1997 to December 2011 were c

Proportionalitetsbedömningen av nationella inkomstskatteregler - en analys av rättsutvecklingen i EU-domstolens praxis

En medlemsstats nationella inkomstskatteregel som hindrar eller inskränker EUF-fördragets bestämmelser om fri rörlighet kan anses vara rättfärdigad om den uppfyller vissa kriterier. Det centrala i denna uppsats är den bedömning som EU-domstolen gör för att avgöra huruvida regeln är rättfärdigad eller ej. Detta innebär att uppsatsen innehåller en redogörelse för det så kallade rule of reason-testetA member state’s national income tax legislation, which prevents or restricts the provisions on free movement in the Treaty of the Functioning of the European Union, can be justified if it meets certain criteria. The essence of this thesis is the assessment made by the European Court of Justice (the Court) to determine whether the legislation is justified or not. This means that this thesis contai

Detailed chemical compositions of the wide binary HD 80606/80607 : Revised stellar properties and constraints on planet formation

Differences in the elemental abundances of planet-hosting stars in binary systems can give important clues and constraints about planet formation and evolution. In this study we performed a high-precision, differential elemental abundance analysis of a wide binary system, HD 80606/80607, based on high-resolution spectra with high signal-to-noise ratio obtained with Keck/HIRES. HD 80606 is known to

Outwards migration for planets in stellar irradiated 3D discs

For the very first time we present 3D simulations of planets embedded in stellar irradiated discs. It is well known that thermal effects could reverse the direction of planetary migration from inwards to outwards, potentially saving planets in the inner, optically thick parts of the protoplanetary disc. When considering stellar irradiation in addition to viscous friction as a source of heating, th

Multiconjugate adaptive optics for large telescopes: analytical control of the mirror shapes

We present an analytical algorithm for deriving the shapes of the deformable mirrors to be used for multiconjugate adaptive correction on a large telescope. The algorithm is optimal in the limit where the overlap of the wave-front contributions from relevant atmospheric layers probed by the guide stars is close to the size of the pupil. The fundamental principle for correction is based on a minimi

Comparison of wavefront sensor models for simulation of adaptive optics

The new generation of extremely large telescopes will have adaptive optics. Due to the complexity and cost of such systems, it is important to simulate their performance before construction. Most systems planned will have Shack-Hartmann wavefront sensors. Different mathematical models are available for simulation of such wavefront sensors. The choice of wavefront sensor model strongly influences c

Capture and evolution of dust in planetary mean-motion resonances: a fast, semi-analytic method for generating resonantly trapped disc images

Dust grains migrating under Poynting-Robertson drag may be trapped in mean-motion resonances with planets. Such resonantly trapped grains are observed in the Solar system. In extrasolar systems, the exozodiacal light produced by dust grains is expected to be a major obstacle to future missions attempting to directly image terrestrial planets. The patterns made by resonantly trapped dust, however,

Trainable Activation Functions For Artificial Neural Networks

I dagens samhälle har maskininlärning en betydande roll, speciellt den delen som kallas för artificiella neuronnät (ANN). Dessa är användbara algoritmer som vagt härmar hur våra biologiska nätverk fungerar. De har visat sig vara skickliga i att lära sig klassificera, och generellt lära sig kopplingar mellan indata och utdata. ANN används flitigt för informationshantering av jättar som Facebook, YoArtificial Neural Networks (ANNs) are widely used information processing algorithms based roughly on biological neural networks. These networks can be trained to find complex patterns in datasets and to produce certain output signals given a set of input signals. A key element of ANNs are their so-called activation functions, which control the signal strengths between the artificial neurons in a n

Template Risk Assessment Of Laboratory Work With Chemicals

Blad1 Risk Assessment of Laboratory Work with Chemicals (AFS 2011:19)1 (LBE)2 (SÄIFS 2000:2)3 (MSBFS 2020:1)4 Department/Division Operation/Activity The operation includes handling of the following chemicals, mixtures and solutions Chemical/Mixture/Solution CAS No. Amount Indications of danger 1 2 3 4 Identification of separate operations/activities that may involve the risk of accident or risk to

https://www.hr-webben.lu.se/sites/hr-webben.lu.se/files/2025-12/Template_Risk%20Assessment%20of%20Laboratory%20Work%20with%20Chemicals.xlsx - 2026-05-18

QCD diffractive mechanism of exclusive W+W- pair production at high energies

We discuss new diffractive mechanism of central exclusive production of W+W- pairs in proton-proton collisions at the LHC. We include diagrams with intermediate virtual Higgs boson as well as quark box diagrams. Several observables related to this process are calculated. Predictions for the total cross section and differential distributions in W-boson rapidity and transverse momentum as well as WW

Event Generators

A brief overview of the current state of general purpose event generators, focusing on recent developments in extending the precision of QCD to next-to-leading order.

LDCMC version1.0

We present the LDCMC program implementing the Linked Dipole Chain model for deeply inelastic ep scattering within the framework of the Ariadne event generator.

Gamma gamma interactions from real to virtual photons

A ‘complete’ framework for γγ/γ*γ/γ*γ* interactions is presented. The emphasis is on providing a model for γγ physics at all photon virtualities, including the difficult transition region Q2∼m2ρ.