Predicting noncontact injuries of professional football players using machine learning.

Noncontact injuries are prevalent among professional football players. Yet, most research on this topic is retrospective, focusing solely on statistical correlations between Global Positioning System (GPS) metrics and injury occurrence, overlooking the multifactorial nature of injuries. This study introduces an automated injury identification and prediction approach using machine learning, leveraging GPS data and player-specific parameters.

Silk + flow-diverter stent for the treatment of intracranial aneurysms associated with balloon angioplasty: A retrospective study.

Background: The silk + flow-diverter stent is increasingly used to treat complex intracranial aneurysms including wide-neck and fusiform aneurysms. Balloon angioplasty has been used to better appose the flow diverter (FD) to the vessel wall and, thus, improve aneurysm occlusion rates and decrease periprocedural complications. Sparse data are available concerning the results of this technique.

Marine litter education: From awareness to action.

Marine litter is a global problem. Education has been acclaimed as a potential tool to tackle this issue, yet, integrative, student-centered, and over weeks studies to raise awareness on the theme that compares pre- with post-intervention results are limited in the literature. Furthermore, almost no studies rely on the basis of previous experience on the theme and local reality.

Multiple Time Series Fusion Based on LSTM: An Application to CAP A Phase Classification Using EEG.

The Cyclic Alternating Pattern (CAP) is a periodic activity detected in the electroencephalogram (EEG) signals. This pattern was identified as a marker of unstable sleep with several possible clinical applications; however, there is a need to develop automatic methodologies to facilitate real-world applications based on CAP assessment. Therefore, a deep learning-based EEG channels' feature level fusion was proposed in this work and employed for the CAP A phase classification.

Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection.

Methodologies for automatic non-rapid eye movement and cyclic alternating pattern analysis were proposed to examine the signal from one electroencephalogram monopolar derivation for the A phase, cyclic alternating pattern cycles, and cyclic alternating pattern rate assessments. A population composed of subjects free of neurological disorders and subjects diagnosed with sleep-disordered breathing was studied. Parallel classifications were performed for non-rapid eye movement and A phase estimations, examining a one-dimension convolutional neural network (fed with the electroencephalogram signal), a long short-term memory (fed with the electroencephalogram signal or with proposed features), and a feed-forward neural network (fed with proposed features), along with a finite state machine for the cyclic alternating pattern cycle scoring.

Particle Swarm Optimisation: A Historical Review Up to the Current Developments.

The Particle Swarm Optimisation (PSO) algorithm was inspired by the social and biological behaviour of bird flocks searching for food sources. In this nature-based algorithm, individuals are referred to as particles and fly through the search space seeking for the global best position that minimises (or maximises) a given problem. Today, PSO is one of the most well-known and widely used swarm intelligence algorithms and metaheuristic techniques, because of its simplicity and ability to be used in a wide range of applications.

A rare case report of an adenomatoid odontogenic tumor associated with odontoma in the maxilla.

Introduction: The adenomatoid odontogenic tumor (AOT) associated with odontoma has been described as a new entity with overlapping features of adenomatoid-like structures and odontoma. Presentation of the case: We report the second case of AOT associated with odontoma in the posterior maxillary region. A 22-year-old patient presented expansion of the vestibular and palatine cortical wall of maxilla.

Modified Segmental Osteotomy for Relocation of Malpositioned Implant: Case Report.

Obtaining a good cosmetic and proper mastication in oral rehabilitation with dental implants are directly linked to the correct positioning of the implant in the alveolar bone. The malposition of the implant is a challenge in rehabilitation, which can often compromise the entire process. In cases of severely malpositioned implants, one has the option to remove it or leave it submerged under bone and gums.

Periprocedural safety of aneurysm embolization with the Medina Coil System: the early human experience.

Introduction: Intracranial saccular aneurysms, if untreated, carry a high risk of morbidity and mortality from intracranial bleeding. Embolization coils are the most common treatment. We describe the periprocedural safety and performance of the initial human experience with the next generation Medina Coil System.

Solitary ischial osteochondroma: an unusual cause of sciatic pain: case report.

The aim was to report on a rare case of osteochondroma of the left ischium, which evolved with compression of the sciatic nerve, thus causing sciatic pain in the homolateral lower limb. The patient was female and presented sciatic pain that was treated clinically for one year. However, the pain evolved with increasing intensity and worsened with hip movement.

[Brain neuroimaging with susceptibility weighted imaging].

The Susceptibility-weighted (SWI) imaging is a recent MRI sequence that shows the magnetic susceptibility differences of various tissues. A large number of neurological / neurosurgical diseases can benefit with this MRI sequence. The basic physics principles are reviewed and also its clinical application in several brain pathologies in adults and in paediatrics, mainly vascular, tumors and neurodegenerative/genetic disorders.