The Olive Oil Monophenolic Secoiridoid Ligstroside Aglycone Suppresses Melanoma Progression by Targeting the BRAF Signaling Pathway.

Melanoma is among the most abundant malignancies in the US and worldwide. Ligstroside aglycone (LA) is a rare extra-virgin olive oil-derived monophenolic secoiridoid with diverse bioactivities. LA dose-response screening at the NCI 60 cancer cells panel identified the high sensitivity of the Malme-3M cell line, which harbors a mutation.

Evaluation of mechanical responses of asphalt mixtures incorporating plastic waste as additives by different compaction efforts and mixing temperatures for a sustainable mixture.

Sustainable pavement is essential for country development, offering durable, environmentally friendly, and cost-effective infrastructure. For Malaysia, sustainable pavement supports Sustainable Development Goals (SDGs) 9 and 11 while addressing road deterioration caused by increasing traffic volumes and loads. This deterioration shortens pavement service life and necessitates frequent maintenance, driving the need for innovative solutions.

Flegel's Disease A Very Rare Skin Disease: A Case Report of Mother and Daughter in a Family.

Flegel's disease (FD) or hyperkeratosis lenticularis perstans (HLP) is an extremely exceptional skin disease typified by hyper-keratotic papules usually found on the lower extremities. Only the histopathological study is the confirmatory test for diagnosis this disease. The treatment of Flegel's disease is not yet settled as a standard one.

Phytol and bilimbi phytocompounds induce thermogenic adipocyte differentiation: An in vitro study on potential anti-obesity effects.

Obesity is a major health concern associated to diabetes, cardiovascular disease, and cancer. Brown adipocytes, which specialise in thermogenesis, offer a potential therapeutic target for obesity prevention and related conditions. This study builds on previous findings of the browning activity of Averrhoa bilimbi hexane fractions and aims to elucidate the underlying mechanisms in vitro.

Enhancing cross-subject emotion recognition precision through unimodal EEG: a novel emotion preceptor model.

Affective computing is a key research area in computer science, neuroscience, and psychology, aimed at enabling computers to recognize, understand, and respond to human emotional states. As the demand for affective computing technology grows, emotion recognition methods based on physiological signals have become research hotspots. Among these, electroencephalogram (EEG) signals, which reflect brain activity, are highly promising.