Trepo
Trepo on Tampereen yliopiston avoin julkaisuarkisto. Trepo sisältää Tampereen yliopiston avoimia julkaisuja: yliopiston henkilökunnan kirjoittamien tieteellisten artikkeleiden rinnakkaistallenteita ja yliopiston muita avoimia julkaisuja sekä opinnäytteitä. Tampere University Pressin Open Access -kirjat ovat Trepossa omana TUP OA Books -kokoelmanaan.
Kokoelmat
Trepo [78625]
Artikkelit [6140]
TUNICRIS-julkaisut [17174]
TUP OA Books [255]
Väitöskirjat [4794]
Kandidaatintutkielmat [7162]
Viimeksi lisätty
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Traumatic cervical spinal cord injury : Comparison of two different blood pressure targets on neurological recovery
(2024)
articleBackground: Controversy exists whether blood pressure augmentation therapy benefits patients suffering from spinal cord injury (SCI). This retrospective comparative study was designed to assess the impact of two different ... -
Distinct and shared genetic architectures of gestational diabetes mellitus and type 2 diabetes
(03 / 2024)
articleGestational diabetes mellitus (GDM) is a common metabolic disorder affecting more than 16 million pregnancies annually worldwide 1,2. GDM is related to an increased lifetime risk of type 2 diabetes (T2D) 1–3, with over a ... -
A social-ecological model of working from home during COVID-19
(2023)
articleWorking from Home (WFH) is emerging as a critical measure for reducing transport demand. Indeed, the COVID-19 pandemic has revealed that trip avoidance measures, especially WFH, could help address Sustainable Development ... -
Dangers of Narrative and Fictionality : A Rhetorical Approach to Storytelling in Contemporary Western Culture
(Peter Lang, 2024)
bookThe 21st-century story economy is grounded on the premise that everyone – from individual social media users to political parties and multinational corporations – needs to become storytellers. At the same time, we witness ... -
Anomaly Detection and Localization for Images of Running Paper Web in Paper Manufacturing
VISIGRAPP (Science and Technology Publications (SciTePress), 2024)
conferenceObjectWe introduce a new method based on convolutional autoencoders to detect and locate paper web anomalies that can cause web breaks during the paper production process. In this approach, we pre-process the images, captured ...