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Osuva on Vaasan yliopiston avoin julkaisuarkisto. Osuva sisältää Vaasan yliopiston omat julkaisut, opinnäytteet ja tieteellisten artikkeleiden rinnakkaistallenteet. Osuvaan sisältyy julkaisujen viitetietoja, tiivistelmiä ja kokotekstejä. Sähköisten arkistokokoelmien sisältö ei ole luettavissa verkossa.

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Viimeksi tallennetut

  • Early and late mortality among patients with T1–T3 head and neck squamous cell carcinoma: a machine learning analysis using a SEER population-based cohort study
    Alabi, Rasheed Omobolaji; Bazina, Mahmoud; Guntinas-Lichius, Orlando; Elmusrati, Mohammed; Almangush, Alhadi; Tiblom Ehrsson, Ylva; Laurell, Göran; Mäkitie, Antti A. (Springer, 2026)
    Artikkeli
    Despite advances in the management of head and neck squamous cell carcinoma (HNSCC), mortality within 6 months of diagnosis remains a substantial clinical challenge. The objectives of this study are: (i) to develop a machine learning (ML) model using data from the Surveillance, Epidemiology, and End Results (SEER) program to assess the influence of patient characteristics, tumor features, and treatment modalities on early mortality in HNSCC; (ii) to explore and compare the prognostic potentials of patient-, tumor, and treatment-related factors across distinct mortality time points—6-month mortality (early mortality), 24-month mortality, and 5-year mortality; and (iii) to externally and independently validate the early mortality model using multicenter data from the Thuringian Cancer Registry (Jena, Germany) and a prospective observational cohort from the Helsinki University Hospital (Helsinki, Finland). We identified 4802 patients with HNSCC from the SEER for model development. Permutation-based feature importance was used to identify risk factors associated with early mortality. External validation was conducted using 1952 cases from the Thuringian Cancer Registry and 58 cases from the Helsinki University Hospital. The ML model achieved a weighted area under curve (AUC) of 0.75 for predicting early mortality in the SEER cohort. External validation yielded weighted AUC values of 0.70 (Germany) and 0.60 (Finland). Aggregate feature importance for early mortality indicated that higher age at diagnosis, presence of earlier primary malignant tumors besides HNSCC, unmarried patients with T1–T3 HNSCC, T3 stage, and having hypopharyngeal or laryngeal cancer, in decreasing order of significance, were important. For 24-month mortality, the associated risk factors in decreasing order of significance were T3 stage, being elderly in terms of age at diagnosis, presence of earlier primary malignant tumors besides HNSCC, having hypopharyngeal or oral cavity cancer, and N3 stage. The associated risk factors for 5-year mortality were found to be the same with those of early mortality with the additional inclusion of T2 stage. Identification of patients at elevated risk of early death supports timely intervention and individualized therapeutic decision-making. The developed ML model identified several risk factors associated with early death and may aid in clinical decision-making with the potential to improve survival outcomes.
  • What It Takes to Scale Value-Based Industrial Solutions
    Frishammar, Johan; Parida, Vinit (MIT Sloan School of Management, 2026)
    Artikkeli
    A study of industrial equipment manufacturers creating customized, value-based offerings identified the capabilities needed to scale the business.
  • System design issues of high renewable energy system, the case of Eritrea
    Negash, Teklebrhan; Solomon, A.A.; Ottermo, Fredric; Möllerström, Erik; István, Farkas; István, Seres (Elsevier, 2026)
    Artikkeli
    The transition to a low-carbon economy and sustainable development necessitates the widespread adoption of renewable energy resources. This study implemented a novel methodological approach that combines flexibility to evaluate the interaction of various system design parameters and system efficiency through our newly developed system use index. It investigates the interaction among key system parameters, such as storage capacity, hours of storage, penetration, curtailment, wind-solar mix, and balancing capacity needs, by evaluating a wide range of scenarios using hourly data from PVGIS and GWA, thereby offering deeper insights into issues of system design and performance. These scenarios demonstrate that diurnal storage of less than 0.5 average daily demand is sufficient to satisfy a penetration of 80–90 % of the annual demand, in combination with varying levels of curtailment associated with specific wind-solar mix. However, depending on the resource mix, achieving the final 10–20 % penetration requires applications other than diurnal storage. While some previous studies have observed similar trends in limited scenarios, this work provides broader validation by simulating extensive and diverse scenarios across all major design parameters, confirming that the observed trends are case-independent. More importantly, it links the above system design parameters with system efficiency and demonstrates, for the first time, that an optimal range of these parameters ensures an optimal system efficiency, which forms a multidimensional constraint that is difficult to implement in any technoeconomic modeling tool but provides important boundary conditions for policy and regulation.
  • Climate-Linked Diaspora Bonds and Blended Impact Vehicles: Conditions for Credible Mobilization
    Zahoor, Nadia; Sumbal, Muhammad Saleem; Poulin, Marc; Upadhyay, Divya; Ashraf, Eiman; Jarrar, Hajer (toim.); Dana, Léo-Paul (toim.); Hachard, Virginie (toim.); Lodorfos, George (toim.) (Springer, 2026)
    Artikkeli
    This chapter examines when climate-linked diaspora bonds and related impact vehicles can mobilize capital credibly and when they are likely to disappoint. It does not advocate a new instrument. Instead, it synthesizes evidence from diaspora-finance, remittance, sovereign-bond, blue-finance, and business-angel research to clarify the operating conditions under which diaspora capital can support climate mitigation, resilience, and adaptation. The chapter shows that homeland attachment can widen investor attention, but sustained uptake depends on governance quality, ring-fenced use of proceeds, investable project pipelines, and credible intermediation. It also explains why remittances, although large and resilient, do not automatically become productive investment without financial-sector depth. By comparing sovereign diaspora bonds, thematic climate notes, and blended vehicles, the chapter develops an evidence-based framework for choosing the right instrument for the right problem. The central conclusion is clear: climate-linked diaspora finance works best when treated as serious financial architecture rather than patriotic fundraising.
  • Leadership Behaviours that Drive Engagement
    Pensar, Heini; Degbey, William Y.; Nduka, Kalu A.; Laker, Benjamin (toim.); Ogbonnaya, Chidiebere (toim.); Degbey, William (toim.) (De Gruyter, 2026)
    Artikkeli