Microbial lysates as low-cost serum replacements in cellular agriculture media formulation.

Cultivated meat, the process of generating meat in vitro without sacrificing animals, is a promising alternative to the traditional practice of livestock agriculture. However, the success of this field depends on finding sustainable and economical replacements for animal-derived and expensive fetal bovine serum (FBS) that is typically used in cell culture processes. Here, we outline an effective screening process to vet the suitability of microbial lysates to support the growth of immortalized bovine satellite cells (iBSCs) and mackerel (Mack1) cells.

Hexamodal awake brain mapping (language, sensorimotor, ictal, visual, auditory) for multilobar resection in a dominant hemisphere parieto-fronto-temporo-occipital cortical malformation with drug-resistant epilepsy.

Surgically remediable epilepsy of the eloquent brain poses the added challenge of preserving function while curing disease. Long-standing epileptogenic lesions have tenacious seizure networks and significant functional reorganizations. Large multilobar lesions may involve multiple functional areas, thereby challenging the limits of functional brain mapping.

Alterations in cardiac function correlate with a disruption in fatty acid metabolism in a mouse model of SMA.

Spinal Muscular Atrophy is an autosomal dominant disease caused by mutations and deletions within the SMN1 gene, with predominantly childhood onset. Although primarily a motor neuron disease, defects in non-neuronal tissues are described in both patients and mouse models. Here, we have undertaken a detailed study of the heart in the Smn2B/- mouse models of SMA, and reveal a thinning of the ventriclar walls as previously described in more severe mouse models of SMA.

Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity-A Review.

Sensor-based Human Activity Recognition (HAR) is crucial in ubiquitous computing, analyzing behaviors through multi-dimensional observations. Despite research progress, HAR confronts challenges, particularly in data distribution assumptions. Most studies assume uniform data distributions across datasets, contrasting with the varied nature of practical sensor data in human activities.