Sökning: "Gaps"
Visar resultat 1 - 5 av 2257 uppsatser innehållade ordet Gaps.
1. Oligolectic bee species. An understudied group in Global Change impacts?
Kandidat-uppsats, Göteborgs universitet / Instiutionen för biologi och miljövetenskapSammanfattning : Global change is considered the primary cause of the decline in bees worldwide, posing a significant threat to crucial pollination services they provide, carrying negative economic and ecological implications. Despite the extensive research conducted on the responses of bee communities to anthropogenic impacts, the focus has predominantly been on commercially interesting bees. LÄS MER
2. Provisions of social workers to victims of internal child trafficking in Uganda: A case study of children living on the streets of Kampala City
Master-uppsats, Göteborgs universitet/Institutionen för socialt arbeteSammanfattning : Human trafficking has become a serious global challenge in the recent past. Regarded as a global epidemic, it has triggered an increase in numbers of children living on the streets especially in countries where internal trafficking in children is a common social vice. LÄS MER
3. A space-time shape for easier spatiotemporal visualization in traffic networks
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER
4. Ett andra övergrepp : En kvalitativ studie om sekundär viktimisering hos kvinnor som utsatts för sexuellt våld inom en nära relation
Kandidat-uppsats, Linnéuniversitetet/Institutionen för socialt arbete (SA)Sammanfattning : The objective of this study is to examine how professionals approach women that have experienced intimate partner rape. Sexual abuse is an area that has seen an upswing of interest in later years partly thanks to samtyckeslagen (the consent law) and #metoo. LÄS MER
5. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : 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. LÄS MER