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Showing result 1 - 5 of 2596 essays matching the above criteria.

  1. 1. DIFFERENCES ON THE IMPACTS AND ORIGINS OF POLLEN IN FOUR MAJOR SWEDISH CITIES BETWEEN 2014 AND 2019

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Jean-Patrick Ridet-Lagorce; [2024-02-12]
    Keywords : Pollen; Allergy; Antihistaminic; Airborne transport; Geographical origins;

    Abstract : Allergies are widespread in the world and coming from various sources, one of the causes being airborne allergens and especially, pollen. The negative impact of pollen is enhanced by pollution and climate change which are some of the biggest issue humankind is facing today. READ MORE

  3. 2. Adherence in patients with heart failure. Relationships to symptom burden and hospitalization frequency : A cross-sectional survey study

    University essay from Malmö universitet/Institutionen för vårdvetenskap (VV)

    Author : Helen Moe; [2024]
    Keywords : Adherence; Cross sectional study; Heart failure; Hospitalization-frequency; Non-adherence; Symptom burden;

    Abstract : Aim: The aim of the study was to investigate the degree of adherence and non-adherence to treatment regimen in the population with heart failure, as well as to explore relationships to symptom burden and hospitalization-frequency. Introduction: Heart failure – a chronic disease with a somber prognosis and high mortality, incidence and prevalence increasing world-wide. READ MORE

  4. 3. Influencers in Confinement : Measuring Covid-19’s Impact on Leadership in Pro- Eating Disorder Twitter Communities

    University essay from Linköpings universitet/Institutet för analytisk sociologi, IAS

    Author : Jacquelynn Ennis; [2024]
    Keywords : Social Network Analysis; Twitter; Pro-eating Disorder; Eating Disorders; Covid-19; Topic Modelling; Online Communities;

    Abstract : The Covid-19 pandemic presented unprecedented challenges, with global lockdowns impacting individuals on a profound scale. Many took to social media to cope with feelings of anxiety and isolation. READ MORE

  5. 4. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    University essay from Lunds universitet/Matematisk statistik

    Author : Zeyuan Wu; [2024]
    Keywords : Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Abstract : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. READ MORE

  6. 5. Glucose Sensing and Differentiating Systems with Organic Electrochemical Neurons : A Future Outlook for Type 2 Diabetes

    University essay from Linköpings universitet/Institutionen för teknik och naturvetenskap

    Author : Sophie Ziske; [2024]
    Keywords : organic electronics; organic electrochemical neuron; organic electrochemical transistor; type 2 diabetes; closed-loop system; Axon-Hillock neuron; astable multivibrator; vagus nerve stimulation; glucose sensing and differentiation; applied physics; biomedical engineering; electronics;

    Abstract : In recent years great advances in the field of biomedical engineering and organic electronics have been achieved. One promising application would be the regulation of blood glucose concentration in type 2 diabetes patients. This application would eliminate medication and would improve the standard of life. READ MORE