Repositório IC-Online
Institution's Scientific Repository
Recent Submissions
Artificial Intelligence-Driven User Interaction with Smart Homes: Architecture Proposal and Case Study
Publication . Lemos, João; Ramos, João; Gomes, Mário; Coelho, Paulo
The evolution of Smart Grids enabled the deployment of intelligent and decentralized energy management solutions at the residential level. This work presents a comprehensive Smart Home architecture that integrates real-time energy monitoring, appliance-level consumption analysis, and environmental data acquisition using smart metering technologies and distributed IoT sensors. All collected data are structured into a scalable infrastructure that supports advanced Artificial Intelligence (AI) methods, including Large Language Models (LLMs) and machine learning, enabling predictive analysis, personalized energy recommendations, and natural language interaction. Proposed architecture is experimentally validated through a case study on a domestic refrigerator. Two series of tests were conducted. In the first phase, extreme usage scenarios were evaluated: one with intensive usage and another with highly restricted usage. In the second phase, normal usage scenarios were tested without AI feedback and with AI recommendations following them whenever possible. Under the extreme scenarios, AI-assisted interaction resulted in a reduction in daily energy consumption of about 81.4%. In the normal usage scenarios, AI assistance resulted in a reduction of around 13.6%. These results confirm that integrating AI-driven behavioral optimization within Smart Home environments significantly improves energy efficiency, reduces electrical stress, and promotes more sustainable energy usage.
Acute effects of dynamic stretching on knee joint position sense and dynamic balance in recreational runners: A randomized controlled trial
Publication . Simões, Edgar; Tavares, Nuno; Saraiva, Marina
Objectives: Proprioception and dynamic balance are crucial elements of neuromuscular control during running, supporting movement precision and postural adjustments. Dynamic stretching is commonly used in warm-ups to enhance muscle activation and sensorimotor readiness, but its acute effects on proprioception and balance remain unclear.
Design: Randomized controlled trial.
Participants: Sixty-two healthy recreational runners (25–45 years; ≥20 km/week), randomly assigned to a Dynamic Stretching group (n = 31) or a control group performing light walking (n = 31). Main outcome measures: Joint position sense was assessed through active joint repositioning using 2D video analysis, with Absolute Angular Error, Relative Angular Error, and Variable Angular Error as outcomes. Balance was evaluated using the Y-Balance Test, including anterior, posteromedial, and posterolateral reach directions, as well as a composite score.
Results: The Dynamic Stretching group showed significant reductions in Absolute Angular Error (p < 0.05) and Variable Angular Error (p < 0.001), with a between-group difference in Relative Angular Error (p = 0.043). Both groups improved Y-Balance Test scores, but the Dynamic stretching group achieved significantly greater gains in posteromedial reach and Composite Score (p < 0.001).
Conclusions: Dynamic stretching acutely improves proprioceptive accuracy and dynamic balance in recreational runners, supporting its inclusion in warm-up routines.
Influence of Jump and Ball Release Parameters on Shooting Accuracy in Basketball Under Varying Constraints
Publication . Amaro, Catarina M.; Castro, Maria António; Mendes, Rui; Rice, Hannah; Gomes, Beatriz B.
Background: This study investigates how both jump-related (jump height and flight time) and ball-related parameters (release height, release angle, and velocity) influence shooting accuracy in basketball under different contextual constraints. Methods: Eighteen senior players competing in the national championship (11 females and 7 males; 22.0 ± 3.7 years) performed 90 shots each across three positions (left 45°, middle 90°, right 45°) and three shooting conditions (baseline, simulated gym audience noise, and simulated opposition). Jump variables were derived from force platforms, while ball kinematics were extracted using a high-speed Qualisys camera system. Results: A three-way ANOVA revealed no systematic effects of position or opposition, and only a small effect of noise on flight time (p = 0.019), which was not confirmed by the Linear Mixed Model. Comparisons between successful and missed shots indicated significantly higher flight time, jump height, and release height, and a tendency for higher release velocity in successful attempts, with no differences in release angle. Spearman correlation showed weak associations between biomechanical variables and shooting accuracy (R2 = 0.005–0.012). Conclusions: These findings suggest that while adaptive biomechanical changes occur under contextual constraints, their isolated impact on shot success is limited. Successful performance appears to rely more strongly on release-related parameters, emphasizing the need for a holistic approach to training that integrates technical, perceptual, and psychological dimensions.
Fur Farming: EU Citizens’ Stance
Publication . Mata, Fernando; Baptista, Nuno; Jesus, Meirielly; Santos, Joana
Despite its economic profitability, fur farming in Europe, responsible for half of global production, faces a growing ethical backlash. Animal welfare concerns, particularly regarding mink, foxes, and raccoon dogs kept in restrictive cages, have intensified due to advocacy, scientific reviews, and COVID-19 outbreaks. In response, several EU nations have implemented bans or stricter regulations. However, limited research exists on EU public opinion. This study analyses data from Eurobarometer 533 (March 2023), surveying 26,368 citizens across 27 EU countries, to assess attitudes toward fur farming. Respondents selected from three policy preferences: a full ban, EU-wide regulation, or acceptance of current practices. Multinomial logistic regression and chi-square tests revealed significant socio-demographic and ideological influences. Older individuals were more supportive of current practices (p = 0.001), while higher education levels correlated with support for a ban or stricter regulation (p = 0.003). Income positively influenced support for regulation (p = 0.002), and women (p = 0.008), urban residents (p = 0.001), and those with regular animal contact (p = 0.007) were more likely to support reform. Right-leaning respondents (p = 0.012) and residents of countries without fur farming bans (p < 0.001) were less supportive. These findings suggest that values, demographics, and national legislation significantly shape public opinion. Aligning policy with evolving societal values requires integrated legislative reform, public engagement, and equitable transition strategies to ensure meaningful and sustainable improvements in animal welfare across the EU.
Micro Computed Tomography Detects Changes in Liver Density in Control and in Prediabetes Rats
Publication . Fonseca, A. R.; Franco, M. C.; Sacramento, J.; Melo, B.; Conde, S.V.; Guarino, M. P.
Fatty liver disease is an early event in the development of insulin resistance that predicts the presence and progression of the metabolic syndrome. In humans, fatty liver diagnosis is usually performed by imaging techniques based on ultrasound, computed tomography and magnetic resonance. Rodent models are often used in metabolic research allowing access to tissue biopsies
however, studies describing ex vivo computed tomography of biological samples are scarce. X-ray Micro Computed Tomography (Micro-CT) is an imaging technique that reveals the internal structure of materials in great detail, also allowing a quantitative analysis of properties such as density measured as arbitrary Hounsfield Units (HU). Herein, we tested the hypothesis that Micro CT detects changes in liver tomographic density induced by metabolic diseases and its reversal upon therapeutic surgical intervention. Two groups of male Wistar rats were used: a group submitted to a hypercaloric diet for 14 weeks to induce prediabetes and the control group submitted to a standard diet). The animals were randomly submitted to a surgical treatment and maintained on their respective diets after the procedure for 11 more weeks. Liver and adipose tissues samples were excised and samples were scanned using a compact X-ray micro-CT scanner. The projection images obtained were analyzed and reconstructed and values of HU density were calculated after calibration for all samples. Results showed that liver density was lower in prediabetes rats (74.8±5.87 HU) than in control animals (97.2±6.3 HU), p<0.05. Liver density was not affected by surgical treatment in control animals however, in prediabetes animals, the surgical therapy restored liver density to control values. Visceral fat density was significantly lower than hepatic density, as expected and was affected, neither by the disease condition nor by the surgical treatment. We concluded that micro-CT detects metabolic disease-induced changes in liver density, but not in visceral adipose tissue density in biopsy samples ex vivo. Changes in hepatic density, assessed by micro-CT, correlate with disease state and with therapeutic interventions.