A multi-spectral and hyperspectral image dataset for evaluating chemical traits and the water status of avocado, olive and grape through leaf dehydration under laboratory conditions.

Assessing the health status of vegetation is of vital importance for all stakeholders. Multi-spectral and hyper-spectral imaging systems are tools for evaluating the health of vegetation in laboratory settings, and also hold the potential of assessing vegetation of large portions of land. However, the literature lacks benchmark datasets to test algorithms for predicting plant health status, with most researchers creating tailored datasets.

Global collaborations to change the paradigm of oral health education and care: 2024 ADEA Annual Session Chair of the Board Symposium, Proceedings.

The 2024 ADEA Annual Session Chair of the Board Symposium titled, Global Collaborations to Change the Paradigm in Oral Health Education and Care, aimed to highlight innovative global education models in oral health. The symposium sought to identify and explore opportunities for collaboration with international partners to ensure sustainable healthcare education to improve the oral health workforce. Additionally, it focused on discovering and adapting innovative solutions and best practices to enhance access to oral health services worldwide.

Modulation of the sex pheromone detection by nutritional and hormonal signals in a male insect.

As in other animals, insects can modulate their odor-guided behaviors, especially sexual behavior, according to environmental and physiological factors such as the individual's nutritional state. This behavioral flexibility results from modifications of the olfactory pathways under the control of hormones. Most studies have focused on the central modulation of the olfactory system and less attention has been paid to the peripheral olfactory system.

Assessment of complementary white matter microstructural changes and grey matter atrophy in the 6-OHDA-induced model of Parkinson's disease.

Parkinson's disease (PD) is a progressive neurodegenerative disorder that is characterized by motor symptoms such as tremors, rigidity, and bradykinesia. Magnetic resonance imaging (MRI) offers a non-invasive means to study PD and its progression. This study utilized the unilateral 6-hydroxydopamine (6-OHDA) rat model of parkinsonism to assess whether white matter microstructural integrity measured using advanced free-water diffusion tensor imaging metrics (fw-DTI) and gray matter density using voxel-based morphometry (VBM) can serve as imaging biomarkers of pathological changes following nigrostriatal denervation.

Predictors of outcome in patients with presumed reversible cerebral vasoconstriction syndrome (RCVS).

Introduction: Reversible cerebral vasoconstriction syndrome (RCVS) is thought to be benign by nature, but a proportion of patients still suffer from neurological deficits on follow-up.

Objective: To understand what factors may influence a patient's recovery from RCVS.

Methods: The Clinical Research Data Warehouse at this institution was employed to search the medical records for patients with diagnosis and treatment of RCVS (2010-2021).