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The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
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Analysing Cover Images
The document discusses several magazine covers and the images and design elements used on them. The first cover features a graduation photo of a young girl making clear the target audience. It also includes background images of other students. The second features a male student carrying books to depict the college lifestyle. Important items like the books are highlighted through brighter colors. The third cover uses a celebrity, Nicola Roberts, instead of directly relating to the magazine's content, making it unique. Her pose is meant to be inspiring yet appealing to both male and female audiences.
Blood Flow Simulations in the Cloud
We present VIRTUS, a system for running blood flow simulations in the cloud. Thanks to our mesher one can directly operate on CT/MRI images, generate the mesh, define the boundary conditions and finally solve and visualize the results. In addition, thanks to GPU time-dependent flow simulations can be solved up to x3 faster than on multi-core CPU.
Project Analysis
This document discusses the research and planning process for a student's preliminary media studies project involving the creation of a magazine cover and contents page using Adobe Photoshop and InDesign. The student chose to target their magazine at college students and considered features that would appeal to this audience, such as a laptop competition and fashion content. Through using Photoshop and InDesign, the student learned new skills like using gridlines for alignment but notes aspects of the software they need further practice with.
Completing The Magazine
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Recommended
Analysing Cover Images
The document discusses several magazine covers and the images and design elements used on them. The first cover features a graduation photo of a young girl making clear the target audience. It also includes background images of other students. The second features a male student carrying books to depict the college lifestyle. Important items like the books are highlighted through brighter colors. The third cover uses a celebrity, Nicola Roberts, instead of directly relating to the magazine's content, making it unique. Her pose is meant to be inspiring yet appealing to both male and female audiences.
Blood Flow Simulations in the Cloud
We present VIRTUS, a system for running blood flow simulations in the cloud. Thanks to our mesher one can directly operate on CT/MRI images, generate the mesh, define the boundary conditions and finally solve and visualize the results. In addition, thanks to GPU time-dependent flow simulations can be solved up to x3 faster than on multi-core CPU.
Project Analysis
This document discusses the research and planning process for a student's preliminary media studies project involving the creation of a magazine cover and contents page using Adobe Photoshop and InDesign. The student chose to target their magazine at college students and considered features that would appeal to this audience, such as a laptop competition and fashion content. Through using Photoshop and InDesign, the student learned new skills like using gridlines for alignment but notes aspects of the software they need further practice with.
Completing The Magazine
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
Evolutionary-driven Optimization in Computational Chemistry
EA-driven based optimization as a potential tool for geometry optimization and reaction path following in computational chemistry.
Multimodal Image Processing in Cytology
PhD describes methods for segmentation of cells in phase contrast microscopy. The PhD was realized partly at Max Planck Institute of Cell Biology and Dresden in Buchholz Lab.
Creating The Contents Page
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Artificial Intelligence in High Content Screening and Cervical Cancer Diagnosis
Artficial Intelligence (AI) studies and designs intelligent agents, e.g. systems that perceive their environment and take actions that maximize the chances of success. In microscopy a success is often understood when the automated image analysis effciently detects phenotypes, as in biological screens, or retrieves a diagnostically relevant statistics from images, as in the medical diagnosis. During the talk I will present two applications aimed at supporting high-content screening and diagnosis of cervical cancer where subdomains of AI, e.g. Evolutionary Algorithm, Neural Networks and Machine Learning techniques were applied.
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SpeedIT : GPU-based acceleration of sparse linear algebra
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Check also SpeedIT FLOW, our RANS single phase flow solver that runs fully on GPU: vratis.com/blog
Content-based Image Retrieval
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Evolutionary-driven Optimization in Computational Chemistry
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Creating The Contents Page
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise boosts blood flow, releases endorphins, and promotes changes in the brain which help regulate emotions and stress levels.
Artificial Intelligence in High Content Screening and Cervical Cancer Diagnosis
Artficial Intelligence (AI) studies and designs intelligent agents, e.g. systems that perceive their environment and take actions that maximize the chances of success. In microscopy a success is often understood when the automated image analysis effciently detects phenotypes, as in biological screens, or retrieves a diagnostically relevant statistics from images, as in the medical diagnosis. During the talk I will present two applications aimed at supporting high-content screening and diagnosis of cervical cancer where subdomains of AI, e.g. Evolutionary Algorithm, Neural Networks and Machine Learning techniques were applied.
SpeedIT FLOW
SpeedIT FLOW is a RANS single-phase fluid flow solver that runs fully on GPU. It supports OpenFOAM format and is about 3x faster than OpenFOAM running on 2xCPU.
Evolution-based Reaction Path Following
The document discusses using evolutionary algorithms to optimize transition state structures. It introduces the objectives of detecting transition states efficiently through simulations. Evolutionary algorithms are described as using populations of individuals that evolve over time through selection, crossover, and mutation operators to adapt to their environment. The fitness function measures this adaptation by identifying transition state structures as energy maxima along reaction paths. Several questions are raised about the encoding of variables and meaning of perturbations in the algorithms. Alternative approaches like sphere-based reaction path following are proposed, which use evolutionary algorithms to locate meaningful optima on energy surfaces to find reaction paths.
SpeedIT : GPU-based acceleration of sparse linear algebra
The SpeedIT provides a partial acceleration of sparse linear solvers. Acceleration is achieved with a single reasonably priced NVIDIA Graphics Processing Unit (GPU) that supporst CUDA and proprietary advanced optimisation techniques.
Check also SpeedIT FLOW, our RANS single phase flow solver that runs fully on GPU: vratis.com/blog
Content-based Image Retrieval
The project aims at development of efficient segmentation method for the CBIR system. Mean-shift segmentation generates a list of potential objects which are meaningful and then these objects are clustered according to a predefined similarity measure. The method was tested on benchmark data and F-Score of .30 was achieved.
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Evolutionary-driven Optimization in Computational Chemistry
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SpeedIT : GPU-based acceleration of sparse linear algebra
SpeedIT : GPU-based acceleration of sparse linear algebra