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A hybrid machine-learning model for solar irradiance forecasting

Clean Energy 2024年第1期8卷 100-110页

作者： Ameera M.Almarzooqi Maher Maalouf Tarek H.M.El-Fouly vasileios E.Katzourakis Mohamed S.El Moursi constantinos v.chrysikopoulos Department of Industrial and Systems Engineering Khalifa UniversityAbu DhabiPO Box 127788UAE Electrical Engineering and Computer Science Department Khalifa University Abu DhabiUAE Department of Civil Infrastructure and Environmental Engineering Khalifa UniversityAbu DhabiPO Box 127788UAE School of Chemical and Environmental Engineering Technical University of CreteChaniaGreece

Nowcasting and forecasting solar irradiance are vital for the optimal prediction of grid-connected solar photovoltaic(Pv)power *** plants face operational challenges and scheduling dispatch difficulties due to the fluctuating nature of their power *** the generation capacity within the electric grid increases,accurately predicting this output becomes increasingly essential,especially given the random and non-linear characteristics of solar irradiance under variable weather *** study presents a novel prediction method for solar irradiance,which is directly in correlation with Pv power output,targeting both short-term and medium-term forecast *** proposed hybrid framework employs a fast trainable statistical learning technique based on the truncated-regularized kernel ridge regression *** proposed method excels in forecasting solar irradiance,especially during highly intermittent weather periods.A key strength of our model is the incorporation of multiple historical weather parameters as inputs to generate accurate predictions of future solar irradiance values in its scalable *** evaluated the performance of our model using data sets from both cloudy and sunny days in Seattle and Medford,USA and compared it against three forecasting models:persistence,modified 24-hour persistence and least *** on three widely accepted statistical performance metrics(root mean squared error,mean absolute error and coefficient of determination),our hybrid model demonstrated superior predictive accuracy in varying weather conditions and forecast horizons.

关键词： solar power generation kernel ridge regression hybrid model forecasting

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Angiogenesis in gastrointestinal stromal tumors:From bench to bedside

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World Journal of Gastrointestinal Oncology 2022年第8期14卷 1469-1477页

作者： Stavros P Papadakos Christos Tsagkaris Marios Papadakis Andreas S Papazoglou Dimitrios v Moysidis constantinos G Zografos Stamatios Theocharis First Department of Pathology School of MedicineNational and Kapodistrian University of AthensAthens 10679Greece Faculty of Medicine University of CreteHeraklion 71003Greece University Hospital Witten-Herdecke University of Witten-HerdeckeWuppertal 42283Germany First Department of Cardiology AHEPA University HospitalAristotle University of ThessalonikiThessaloniki 54636Greece First Department of Surgery Athens Medical SchoolNational and Kapodistrian University of AthensLaikon General HospitalAthens 11527Greece First Department of Pathology Medical SchoolUniversity of AthensAthens 11527Greece

Gastrointestinal stromal tumors(GISTs)are rare neoplasms with an estimated incidence from 0.78 to 1-1.5 patients per *** most commonly occur in the elderly during the eighth decade of life affecting predominantly the stomach,but also the small intestine,the omentum,mesentery and *** available treatments for GIST are associated with a significant rate of recurrent disease and adverse *** understanding of GIST’s pathophysiology and translation of this knowledge into novel regimens or drug repurposing is essential to counter this *** present review summarizes the existing evidence about the role of angiogenesis in GIST’s development and progression and discusses its clinical underpinnings.

关键词： Gastrointestinal stromal tumor Cancer Oncology Angiogenesis Gastrointestinal oncology Stromal tumors

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Sense of Coherence, Self-Disclosure, and Depression in Lung Cancer Patients

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Open Journal of Medical Psychology 2021年第1期10卷 11-26页

作者： constantinos Togas Fotios Anagnostopoulos George Alexias Department of Psychology Panteion University of Social and Political Sciences Athens Greece

This study aimed to investigate the relationship between sense of coherence and depression and the mediating role of self-disclosure in lung cancer patients. Α cross-sectional study was conducted in “Sotiria” Chest Diseases Hospital, Greece, with a sample of 200 lung cancer patients. The administered questionnaires included demographic-medical information, SOC-13, Distress Disclosure Index, and CES-D scale. Analysis was performed by SPSS v.23 and PROCESS. Depression was common (41%) and negatively correlated to SOC (rho = -0.843, df = 198, p SOC of these patients.

关键词： Lung Cancer Sense of Coherence Self-Disclosure Depression Quantitative Method

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Εvaluation of Health-Related Quality of Life in Lung Cancer Patients in Greece and Associations with Demographic and Medical Characteristics

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Journal of Biosciences and Medicines 2019年第10期7卷 17-31页

作者： constantinos Togas George Alexias Fotios Anagnostopoulos Department of Psychology Panteion University of Social and Political Sciences Athens Greece

Lung cancer is a common type of cancer. The aim of this study was to examine Health-Related Quality of Life (ΗRQOL) in lung cancer patients and the demographic/medical characteristics that are related to it. A cross-sectional study was conducted in “Sotiria” Chest Diseases Hospital, Greece, with a sample of 200 lung cancer patients. Patients completed a composite questionnaire including demographic/medical information, EORTC-QLQ-C30 and ΕΟRTC-QLQ-LC13. The duration of the study was 17 months (April 2014 to August 2015). SPSS v.25 was used for the analysis of data. Mean age was 68.5 years, 70.5% were men, 81% were married, 84% had Non-Small Cell Lung Cancer (NSCLC) and 16% had Small Cell Lung Cancer (SCLC). Patients evaluated their ΗRQOL as moderate (Μ = 51.71). The predominant symptoms were fatigue, pain, dyspnoea, insomnia, and appetite loss. Most of the symptoms were negatively correlated with the functional scales of EORTC-QLQ-C30. Better perceived health and ΗRQOL were related to the absence of recurrence and higher educational level. All functional scales were significantly affected by recurrence. Gender, income status, metastases, information about the diagnosis and months elapsed since diagnosis significantly affected only some functional scales. These results can be used to identify patients at high risk for having poor HRQOL and to improve their therapy plan. Future research is suggested, in order to further investigate and clarify the study’s results.

关键词： Lung Cancer HRQOL Demographic Characteristics Medical Characteristics EORTC-QLQ-C30

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