Sökning: "Spatiotemporal parameters"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden Spatiotemporal parameters.

  1. 1. Application of Biomimetic Membrane Models in Expansion Microscopy

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Praghadhesh Thiagarajan; [2023]
    Nyckelord :Fluorescence microscopy; expansion microscopy; GPMV; inter-leaflet asymmetry; Fluorescensmikroskopi; expansionsmikroskopi; GPMV; asymmetri mellan lagren;

    Sammanfattning : Plasmamembranet är en komplex struktur som består av biomolekyler som lipider, proteiner och glykaner. Membranets rena komplexitet begränsar vår förmåga att förstå den spatiotemporala dynamiken hos sådana komponenter och deras kollektiva biofysiska membranparametrar. LÄS MER

  3. 2. Why should 3D Gait Analysis be included in the Walking Pattern Assessment of individuals with Spinal Cord Injury? : Biomechanical analysis of gait and gait patterns in individuals with spinal cord injury

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Chiara Pollicini; [2022]
    Nyckelord :Spinal cord injury; 3D gait analysis; gait features; GDI; GPS; Clinical assessments; ASIA scale;

    Sammanfattning : Background: The yearly incidence of people with Spinal Cord Injury (SCI) is between250,000 and 500,000, according to the World Health Organization (WHO). The injury often reduces the ability to walk. Various consequences affect the nervous system and, thus, the entire body. LÄS MER

  4. 3. Descriptive differences in physiological and biomechanical parameters between running shoes : a pilot study with a single-subject experimental design

    Master-uppsats, Gymnastik- och idrottshögskolan, GIH/Institutionen för fysiologi, nutrition och biomekanik

    Författare :Alexander Wolthon; [2020]
    Nyckelord :Running economy; Indirect calorimetry; Footwear; Sham;

    Sammanfattning : Running performance has increased immensely during the last few years, coinciding with multiple shattered world records in relatively short amount of time. Improvements in footwear material and design are likely reasons for this increase in running performance. LÄS MER

  5. 4. An evaluation of deep neural network approaches for traffic speed prediction

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Cosar Ghandeharioon; [2018]
    Nyckelord :Deep Learning; Regression; Time Series; LSTM; Neural decomposition.; Djupinlärning; Regression; Tidsserier; LSTM; Neural dekomposition.;

    Sammanfattning : The transportation industry has a significant effect on the sustainability and development of a society. Learning traffic patterns, and predicting the traffic parameters such as flow or speed for a specific spatiotemporal point is beneficial for transportation systems. LÄS MER

  7. 5. Nature-based Solutions for Flood Risk Reduction, Contamination Control and Climate Change Adaption

    Master-uppsats, KTH/Hållbarhet och miljöteknik

    Författare :Hanna Nordin von Platen; Matilda Gustafsson; [2018]
    Nyckelord :Nature- based solutions; wetlands; flood risk mitigation; sediment connectivity;

    Sammanfattning : Heavy precipitation events are expected to increase in the future, due to climate change. This predicted change will increase the risk of flooding, especially in urban areas. To mitigate these challenges and support a sustainable urban development, Nature-based solutions (NBS) can be used as a flood risk reduction measure. LÄS MER