A5090552512- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- Marine and coastal ecosystems
- Fibromyalgia and Chronic Fatigue Syndrome Research
- Financial Risk and Volatility Modeling
- Oceanographic and Atmospheric Processes
- Energy Load and Power Forecasting
- Statistical and numerical algorithms
- Monetary Policy and Economic Impact
- Long-Term Effects of COVID-19
- Malaria Research and Control
- Immune Cell Function and Interaction
- Water resources management and optimization
- Lymphoma Diagnosis and Treatment
- vaccines and immunoinformatics approaches
- Clinical practice guidelines implementation
- Advanced Drug Delivery Systems
- Water-Energy-Food Nexus Studies
- Osteoarthritis Treatment and Mechanisms
- Isotope Analysis in Ecology
- Marine and fisheries research
- Artificial Intelligence in Healthcare and Education
- Behavioral and Psychological Studies
- Marine Biology and Ecology Research
- Grey System Theory Applications
University of Lisbon
2010-2024
University of Algarve
2010-2024
Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We provide an overview wide range theoretical, state-of-the-art models, methods, principles,...
This study relates sea surface temperature (SST) to the upwelling conditions off southwest coast of Portugal using statistical analyses publically available data. Optimum Interpolation (OI) daily SST data were extracted from United States (US) National Oceanic and Atmospheric Administration (NOAA) for wind speed direction US Climatic Data Center. Time series at a frequency time horizon 26 years. Upwelling indices estimated westerly (Qx) southerly (Qy) Ekman transport components. In first...
Objectives To assess and compare patient perceived quality of osteoarthritis (OA) management in primary healthcare Denmark, Norway, Portugal the UK. Methods Participants consulting with clinical signs symptoms knee OA were identified 30 general practices invited to complete a cross-sectional survey including indicators (QI) for care. A QI was considered as eligible if participant had checked ‘Yes’ or ‘No’, achieved indicator. The median percentage (with IQR range) QIs by country determined...
The European Space Agency has acquired 10 years of data on the temporal and spatial distribution phytoplankton biomass from MEdium Resolution Imaging Spectrometer (MERIS) sensor for ocean color. was estimated with MERIS product Algal Pigment Index 1 (API 1). Seasonal-Trend decomposition time series based Loess (STL) identified variability dynamical features in products water leaving reflectance (ρw(λ)) API 1. advantages STL is that it can identify seasonal components changing over time,...
Infections by the Epstein-Barr virus (EBV) are often at disease onset of patients suffering from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). However, serological analyses these infections remain inconclusive when comparing with healthy controls (HCs). In particular, it is unclear if certain EBV-derived antigens eliciting antibody responses have a biomarker potential for diagnosis. With this purpose, we re-analyzed previously published microarray data on IgG against 3,054...
Apparent water losses can be problematic to companies' revenues. This type of loss is very difficult detect and quantify often associated with meter anomalies. study was motivated by a company's challenge that links decrease in consumption meters' malfunction. The aim develop strategy decreasing usage patterns, contributing performance assessment. basis the approach combination statistical methods. First, time series billed decomposed using Seasonal-Trend decomposition based on Loess. Next,...
Abstract Background Nowadays, the chance of discovering best antibody candidates for predicting clinical malaria has notably increased due to availability multi-sera data. The analysis these data is typically divided into a feature selection phase followed by predictive one where several models are constructed outcome interest. A key question in determine which antibodies should be included stage and whether they original or transformed scale (i.e. binary/dichotomized). Methods To answer...
Background and Objectives: The diagnosis pathology of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) remain under debate. However, there is a growing body evidence for an autoimmune component in ME/CFS caused by the Epstein-Barr virus (EBV) other viral infections. Materials Methods: In this work, we analyzed large public dataset on IgG antibodies to 3054 EBV peptides understand whether these immune responses could help diagnose patients trigger pathological autoimmunity; used...
People with myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) often report a high frequency of viral infections and flu-like symptoms during their disease course. Given that this reporting agrees different immunological abnormalities altered gene expression profiles observed in the disease, we aimed at answering whether human angiotensin-converting enzyme 2 (ACE2), major cell entry receptor for SARS-CoV-2, is also these patients. In particular, low ACE2 could be indicative risk...
As an island nation, Ireland needs to ensure effective management measures protect marine ecosystems and their services, such as the provision of fishery resources. The characterization waters using satellite data can contribute a better understanding variations in upper ocean and, consequently, effect changes on species populations. In this study, nineteen years (1998–2016) monthly essential climate variables (ECVs), chlorophyll (Chl-a), diffuse attenuation coefficient (K490) were used,...
Abstract Infections by the Epstein-Barr virus (EBV) are often at disease onset of patients suffering from Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS). However, serological analyses these infections remain inconclusive when comparing with healthy controls. In particular, it is unclear if certain EBV-derived antigens eliciting antibody responses have a biomarker potential for diagnosis. With this purpose, we re-analysed previously published microarray data on IgG against 3,054...
Time series analysis deals with records that are collected over time. The objectives of time depend on the applications, but one main goals is to predict future values series. These depend, usually in a stochastic manner, observations available at present. Such dependence has be considered when predicting from its past, taking into account trend, seasonality and other features data. Some most successful forecasting methods based concept exponential smoothing. There variety fall smoothing...
In this article the authors expose an automatic procedure that combines a very popular resampling technique, Bootstrap methodology, with one of most widely used forecasting methods, exponential smoothing. The merge these two approaches originates Boot.EXPOS. algorithm can be summarized as follow: Given time series, it starts by selecting "best" EXPOS model for fitting data, using AIC criterion. fitted values and estimated parameters are kept later reconstructing series. Concerning random...