Benefits of multinomial processing tree models with discrete and continuous variables in memory research: an alternative modeling proposal to Juola et al. (2019).

Signal detection theory (SDT) and two-high threshold models (2HT) are often used to analyze accuracy data in recognition memory paradigms. However, when reaction times (RTs) and/or confidence levels (CLs) are also measured, they usually are analyzed separately or not at all as dependent variables (DVs). We propose a new approach to include these variables based on multinomial processing tree models for discrete and continuous variables (MPT-DC) with the aim to compare fits of SDT and 2HT models.

Blood-Derived Exosomal hTERT mRNA in Patients with Lung Cancer: Characterization and Correlation with Response to Therapy.

Telomerase (human telomerase reverse transcriptase (hTERT) is considered a hallmark of cancer, being active in cancer cells but repressed in human somatic cells. As such, it has the potential to serve as a valid cancer biomarker. Exosomal hTERT mRNA can be detected in the serum of patients with solid malignancies but not in healthy individuals.

Progressive attenuation of visual global precedence across healthy aging and Alzheimer's disease.

In the perception of Navon hierarchical stimuli (e.g., large letters made up of small letters), young adults identify large letters faster than small ones (known as 'global advantage') and identify more slowly small letters when they form a different (or incongruent) large letter (known as 'unidirectional global interference').

Therapeutic inhibitory RNA in head and neck cancer via functional targeted lipid nanoparticles.

Currently there are no specific therapies addressing the distinctive biology of human papillomavirus (HPV)-induced cancer approved for clinical use. Short interfering RNA (siRNA) has much potential for therapeutic manipulation of HPV E6/E7 oncoproteins. Lipid-based nanoparticles (LNPs) can be utilized for systemic transportation and delivery of siRNA at target site.