Attention detection using electroencephalogram (EEG) signals has become a popular topic. However, there seems to be a notable gap in the literature regarding comprehensive and systematic reviews of machine learning methods for attention detection using EEG signals. Therefore, this survey outlines recent advances in EEG-based attention detection within the past five years, with a primary focus on auditory attention detection (AAD) and attention level classification. First, researchers provide a brief overview of commonly used paradigms, preprocessing techniques, and artifact-handling methods, as well as listing accessible datasets used in these studies. Next, researchers summarize the machine learning methods for classification in this field and divide them into two categories: traditional machine learning methods and deep learning methods. Researchers also analyze the most frequently used methods and discuss the factors influencing each technique’s performance and applicability. Finally, researchers discuss the existing challenges and future trends in this field.

Analysis of data from the Family Financial Survey, included in the Spanish Statistical Plan, shows that parents aged 50-75 living together with children over 30 in the family home has an adverse effect on the well-being of mothers, especially if they are adult male sons.

In Southern European countries, more than 40% of adults aged 25-34 live at home with their parents and the average age of leaving the family home is 29.8 years. Apart from economic aspects, the cultural contexts of Mediterranean countries seem to explain these results, as they are traditionally characterised by stronger family ties and a less equal division of household labour.

Chloride toxicity is a growing threat to salt-sensitive crops, causing oxidative stress, membrane damage, and cell death.

Sterols are beneficial plant metabolites with proven human health effects. In rapeseed (Brassica napus), enhancing sterol content could add significant nutritional value to edible oils.

Researchers have developed an improved vacuum-infiltration system that overcomes long-standing barriers in tomato genetic engineering. 

Safflower is widely valued for its flavonoid glycosides, particularly for cardiovascular therapeutics and natural dyes. 

Garlic, a globally significant food and medicinal crop, suffers major quality loss during storage due to sprouting and decay.

A team of researchers has developed the first high-resolution genetic map and a versatile SNP chip for Panax ginseng, a tetraploid medicinal plant with complex genomic architecture. 

Grafting between different plant species can offer advantages like disease resistance and structural resilience. However, graft incompatibility remains a biological mystery.