• Essays in Corporate Finance 

  Khan, Aima (Doctoral thesis, 2022-02-11)

  Firm value creation and maximization is the primary objective of any firm and the most debated issue in corporate finance. Firms operate in the market to create value for the stakeholders. Valuation plays its role in many ...

• The Effectiveness of the Anteroom (Vestibule) Area on Hospital Infection Control and Health Staff Safety: A Systematic Review 

  Andalib, Elham; Faghani, Masoumeh; Zia Ziabari, Seyyed Mahdi; Shenagari, Mohammad; Salehiniya, Hamid; Keivanlou, Mohammad Hossein; Rafat, Zahra Rafat (Journal article; Peer reviewed, 2022-04-26)

  The emergence of SARS-CoV2 in 2019 showed again that the world's healthcare system is not fully equipped and well-designed for preventing the transmission of nosocomial respiratory infections. One of the great tools for ...

• Metformin exposure, maternal PCOS status and fetal venous liver circulation: A randomized, placebo-controlled study 

  Grindheim, Sindre; Ebbing, Cathrine; Karlsen, Henriette Odland; Skulstad, Svein Magne; Real, Francisco Gomez; Lønnebotn, Marianne; Løvvik, Tone Shetelig; Vanky, Eszter; Kessler, Jørg (Journal article; Peer reviewed, 2022-01-28)

  Background: Metformin is prescribed to women with polycystic ovary syndrome (PCOS) to prevent pregnancy complications. Children exposed to metformin vs. placebo in utero, have increased head circumference at birth and are ...

• DeepOtolith v1.0: An Open-Source AI Platform for Automating Fish Age Reading from Otolith or Scale Images 

  Politikos, Dimitris V.; Sykiniotis, Nikolaos; Petasis, Georgios; Dedousis, Pavlos; Ordonez, Alba; Vabø, Rune; Anastasopoulou, Aikaterini; Moen, Endre; Mytilineou, Chryssi; Salberg, Arnt-Børre; Chatzispyrou, Archontia; Malde, Ketil (Journal article; Peer reviewed, 2022-05-29)

  Every year, marine scientists around the world read thousands of otolith or scale images to determine the age structure of commercial fish stocks. This knowledge is important for fisheries and conservation management. ...

• Restricted maximum-likelihood method for learning latent variance components in gene expression data with known and unknown confounders 

  Malik, Muhammad Ammar; Michoel, Tom (Journal article; Peer reviewed, 2022)

  Random effects models are popular statistical models for detecting and correcting spurious sample correlations due to hidden confounders in genome-wide gene expression data. In applications where some confounding factors ...

View more