Sökning: "Full score"

Visar resultat 1 - 5 av 77 uppsatser innehållade orden Full score.

1. 1. ESG Performance and Probability of Default

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Författare :Julius Bengtsson; Magnus Fredriksson; [2024]
   Nyckelord :ESG; CSR; Stakeholder Theory; Probability of Default;

   Sammanfattning : This study aims to investigate how firms' ESG performance affects their probability of default for Nordic listed firms. Based on stakeholder theory as well as findings from previous literature, we hypothesise that this relationship is negative as our main hypothesis. LÄS MER

3. 2. En undersökning av metoder förautomatiserad text ochparameterextraktion frånPDF-dokument med NaturalLanguage Processing

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Alexander Värling; Emil Hultgren; [2024]
   Nyckelord :portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer; portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer;

   Sammanfattning : I dagens affärsmiljö strävar många organisationer efter att automatisera processen för att hämta information från fakturor. Målet är att göra hanteringen av stora mängder fakturor mer effektiv. Trots detta möter man utmaningar på grund av den varierande strukturen hos fakturor. LÄS MER

4. 3. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

   Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

   Författare :Erik Everett Palm; [2023]
   Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

   Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER

5. 4. Deep learning-based segmentation of anatomical structures in MR images

   Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

   Författare :Rasmus Ledberg; [2023]
   Nyckelord :MRI; deep learning; segmentation;

   Sammanfattning : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. LÄS MER

7. 5. ESG Scores as Social Ethicality Motivators

   Magister-uppsats, Lunds universitet/Företagsekonomiska institutionen

   Författare :Annika Ebert; Isabella Larsson; [2023]
   Nyckelord :ESG Responsiveness; Russia-Ukraine War; Divestment Strategy; Brand Management; MNCs; Business and Economics;

   Sammanfattning : Relating to the ongoing discussion surrounding criticism and support for ESG scores, the purpose of this paper anchors itself in providing comprehensive, empirical evidence regarding the responsiveness of ESG scores to firm actions. The different strategic choices of multinational firms, resulting from political and stakeholder pressure, were to either fully withdraw, suspend or continue operations in Russia in light of the Russia-Ukraine war. LÄS MER