26 documents found, page 1 of 3
Smart railways: AI-based track-side monitoring for wheel flat identification
Mohammadi, M; Mosleh, A; Cecília Vale; Ribeiro, D; Pedro Aires Montenegro; Meixedo, AThe wheel flat detection in trains using Artificial Intelligence (AI) has emerged as a critical advancement in railway maintenance and safety practices. AI systems can effectively identify geometric deformation in wheel rotation patterns, indicative of potential wheel flat damage, resorting to wayside monitoring systems and machine learning algorithms. This study aims to propose an unsupervised learning algorit...
Clustering-Based Classification of Polygonal Wheels in a Railway Freight Vehicl...
Guedes, A; Silva, R; Ribeiro, D; Magalhaes, J; Jorge, T; Cecília Vale; Meixedo, A; Mosleh, A; Pedro Aires MontenegroPolygonal wheels are one of the most common defects in train wheels, causing a reduction in comfort levels for passengers and a higher degradation of vehicle and track components. With the aim of contributing to the safety and reliability of railway transport, this paper presents the development of an innovative methodology for classifying polygonal wheels based on a wayside system. To achieve that, a numerical...
Early identification of out-of-roundness damage wheels in railway freight vehic...
Jorge, T; Magalhaes, J; Silva, R; Guedes, A; Ribeiro, D; Cecília Vale; Meixedo, A; Mosleh, A; Pedro Aires Montenegro; Cury, AEarly identification of wheel defects can prevent serious damage to railways, considerably lowering maintenance costs for both railway administrations and rolling stock operators. Within this context, an unsupervised methodology based on artificial intelligence techniques is presented, which allows the detection and classification of out-of-roundness damage wheels, such as wheel flats and polygonal wheels, base...
A strategy for out-of-roundness damage wheels identification in railway vehicle...
Magalhaes, J; Jorge, T; Silva, R; Guedes, A; Ribeiro, D; Meixedo, A; Mosleh, A; Cecília Vale; Montenegro, P; Cury, AWayside monitoring is a promising cost-effective alternative to predict damage in the rolling stock. The main goal of this work is to present an unsupervised methodology to identify out-of-roundness (OOR) damage wheels, such as wheel flats and polygonal wheels. This automatic damage identification algorithm is based on the vertical acceleration evaluated on the rails using a virtual wayside monitoring system an...
Evaluating the range expansion of recreational non-native fishes in Portuguese ...
Martelo, J; Costa, L; Ribeiro, D; Gama, Mafalda; Banha, Filipe; Anastácio, PedroUpdating information on the distribution of recently introduced and other poorly known non-natives is essential to prevent and control their spread and better address biological invasions. Here, we combine scientific and citizen science data to update the distribution of five recently arrived (i.e., < 25 years), non-native fish species (Alburnus alburnus, Ameiurus melas, Rutilus rutilus, Sander lucioperca and S...
Anemia prevalence in women of reproductive age in low- and middle-income countr...
Kinyoki, D; Osgood-Zimmerman, AE; Bhattacharjee, NV; Schaeffer, LE; Lazzar-Atwood, A; Lu, D; Ewald, SB; Donkers, KM; Letourneau, ID; Collison, MAnemia is a globally widespread condition in women and is associated with reduced economic productivity and increased mortality worldwide. Here we map annual 2000–2018 geospatial estimates of anemia prevalence in women of reproductive age (15–49 years) across 82 low- and middle-income countries (LMICs), stratify anemia by severity and aggregate results to policy-relevant administrative and national levels. Addi...
Naturally Occurring Bioactives as Antivirals: Emphasis on Coronavirus Infection
Ayatollahi, SA; Sharifi-Rad, J; Tsouh Fokou, PV; Mahady, GB; Ansar Rasul Suleria, H; Krishna Kapuganti, S; Gadhave, K; Giri, R; Garg, N; Sharma, RThe current coronavirus disease (COVID-19) outbreak is a significant threat to human health and the worldwide economy. Coronaviruses cause a variety of diseases, such as pneumonia-like upper respiratory tract illnesses, gastroenteritis, encephalitis, multiple organ failure involving lungs and kidneys which might cause death. Since the pandemic started there have been more than 107 million COVID-19 infections ca...
Molecular characterization of a novel splicing mutation underlying mucopolysacc...
Coutinho, MF; Encarnação, M; Matos, L; Silva, L; Ribeiro, D; Santos, JI; João Prata, M; Vilarinho, L; Alves, SHere, we present the molecular diagnosis of a patient with a general clinical suspicion of Mucopolysaccharidosis, highlighting the different tools used to perform its molecular characterization. In order to decrease the turnaround time for the final report and contribute to reduce the “diagnostic odyssey”, which frequently afflicts affected families, the proband’s sample was simultaneously screened for mutation...
Prostate cancer proliferation is affected by the subcellular localization of MC...
Valença, I; Ferreira, AR; Correia, M; Kühl, S; Roermund, C; Waterham, HR; Máximo, V; Islinger, M; Ribeiro, DReprogramming of lipid metabolism directly contributes to malignant transformation and progression. The increased uptake of circulating lipids, the transfer of fatty acids from stromal adipocytes to cancer cells, the de novo fatty acid synthesis, and the fatty acid oxidation support the central role of lipids in many cancers, including prostate cancer (PCa). Fatty acid ß-oxidation is the dominant bioenergetic p...
Biomarkers of Presbycusis and Tinnitus in a Portuguese Older Population
Haider, HF; Flook, M; Aparicio, M; Ribeiro, D; Antunes, M; Szczepek, AJ; Hoare, DJ; Fialho, G; Paço, JC; Caria, HIntroduction: Presbycusis or age-related hearing loss (ARHL) is a ubiquitous health problem. It is estimated that it will affect up to 1.5 billion people by 2025. In addition, tinnitus occurs in a large majority of cases with presbycusis. Glutamate metabotropic receptor 7 (GRM7) and N-acetyltransferase 2 (NAT2) are some of the genetic markers for presbycusis. Objectives: To explore patterns of hearing loss and ...