Publications by authors named "A Kyprianou"

Article Synopsis
  • Long-term stability poses a significant challenge for commercializing perovskite solar cells, made worse by a lack of consistent outdoor testing data.
  • This study involved two years of outdoor testing on perovskite mini-modules, analyzing their performance changes throughout each day, including both degradation during the day and recovery overnight.
  • Using the XGBoost regression model, the researchers successfully predicted the power output of the mini-modules, achieving a low error rate, which shows promise for estimating the lifespan of perovskite devices based on environmental factors.
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The FLEXGRID project develops a digital platform designed to offer Digital Energy Services (DESs) that facilitate energy sector stakeholders (i.e. DSOs, TSOs, market operators, RES producers, retailers, flexibility aggregators) towards: i) automating and optimizing their investments and operation/management of their systems/assets, and ii) interacting in a dynamic and efficient way with their environment (electricity system) and the rest of the stakeholders.

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Article Synopsis
  • The study focuses on developing a predictive model called SEAL to assess the risk of serious postoperative complications after emergency laparotomy (EL), aiming to improve patient management.
  • Researchers analyzed data from 633 patients and identified six key predictors for complications, demonstrating that SEAL has strong accuracy and calibration compared to the existing ACS-NSQIP model.
  • The SEAL model is seen as a valuable tool for personalized risk assessment, with suggestions for further testing in diverse environments to validate its effectiveness.
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Background: Accurate preoperative risk assessment in emergency laparotomy (EL) is valuable for informed decision making and rational use of resources. Available risk prediction tools have not been validated adequately across diverse health care settings. Herein, we report a comparative external validation of four widely cited prognostic models.

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A computer-based algorithm was used for phonological analysis of Cypriot Greek (CG) word productions elicited from a sample of typically developing (TD) CG-speaking children. Specific focus was on (a) creating a complete CG phonetic and phonological test; (2) implementing a novel computer-based algorithm in the analysis of selected speech stimuli from CG-speaking TD children; and (3) examining independent and relational speech patterns based on the computer-based algorithm. The probe word list consisted of 182 target words and included all CG consonants in all word positions.

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