Sökning: "Uppsala stage model"

Visar resultat 1 - 5 av 92 uppsatser innehållade orden Uppsala stage model.

1. 1. Integrating web data miningand machine learningalgorithms to predict progression free survival and overall survival in multiple myeloma patients

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Yijie Zhou; [2023]
   Nyckelord :;

   Sammanfattning : Multiple myeloma patients have highly variable progression free survival and overall survivalranging from a few weeks to more than 5 years. Stratification of these patients can help toidentify high risk patients i-e patients with short-term progression free survival and overallsurvival. LÄS MER

3. 2. Is two stage GAC better than one stage GAC for removing PFAS at a DWTP? : Investigation of PFAS removal from drinking water using two stage granular activated carbon (GAC) filter

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för geovetenskaper

   Författare :Oliver Ekesiöö; [2023]
   Nyckelord :GAC; PFAS; drinking water treatment; two stage GAC;

   Sammanfattning : The removal of 34 per- and polyfluoroalkyl substances (PFAS) were compared in a 1 stagegranular activated carbon (GAC) filtration to a 2 stage GAC filtration in a pilot study at adrinking water treatment plant (DWTP). The PFASs that were present in the water wereperfluorooctanoic acid (PFOA), perfluorooctane sulfonic acid (PFOS), perfluoropentanoic acid(PFPeA), perfluorohexanoic acid (PFHxA), perfluoroheptanoic acid (PFHpA), perfluorobutanesulfonic acid (PFBS), perfluoropentane sulfonic acid (PFPeS) and perfluorohexane sulfonic acid(PFHxS). LÄS MER

4. 3. Den vuxna patientens upplevelser av postoperativ konfusion : En litteraturöversikt med kvalitativ ansats

   Kandidat-uppsats, Uppsala universitet/Institutionen för folkhälso- och vårdvetenskap

   Författare :Arvid Fagerström; Arvid Norin; [2023]
   Nyckelord :Confusion; patients experiences; postoperative care; postoperative complications.; Konfusion; patienters upplevelser; postoperativa komplikationer; postoperativ vård.;

   Sammanfattning : Bakgrund: Konfusion innebär att patienten drabbas av ett akut förvirringstillstånd som bland annat påverkar kognitionen och medvetandenivån. Detta är en vanlig förekommande komplikation i den postoperativa vården. LÄS MER

5. 4. Knowledge Retention in Practice : How organizations avoid knowledge loss through proactive and reactive knowledge retention processes

   Master-uppsats, Uppsala universitet/Företagsekonomiska institutionen

   Författare :Alma Ahlrik; Hertha Kamras; [2023]
   Nyckelord :Knowledge management; knowledge retention; knowledge loss; tacit knowledge; explicit knowledge; organizational memory; knowledge spiral model; knowledge retention framework;

   Sammanfattning : This thesis's purpose was to gain a deeper understanding of how organizations create knowledge retention (KR), both proactively (day-to-day basis) and reactively (when an employee decides to resign), to avoid knowledge loss. A qualitative multiple case study was conducted through semi-structured interviews, with eight respondents from eight different organizations. LÄS MER

7. 5. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data

   Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologi

   Författare :Hengyu Luo; [2023]
   Nyckelord :prompt-learning; zero-shot; few-shot; text classification; domain-specific; retail sector domain; customer-agent interaction; transformer; large language models; ChatGPT; natural language processing; machine learning; deep learning;

   Sammanfattning : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. LÄS MER