Trajectory and predictors of psychological distress and posttraumatic growth among rectal cancer patients undergoing combined modality treatment: An exploratory prospective study.

Objective: This exploratory prospective cohort study aimed to investigate the trajectory of psychological distress and posttraumatic growth (PTG) in rectal cancer patients from diagnosis to follow-up and to explore factors that could predict PTG and psychological distress at follow-up.

Method: We assessed psychological distress (anxiety and depression), PTG, physical symptoms, quality of life, cancer-related coping, state and trait affectivity, resilience, and alexithymia in 43 rectal cancer patients, ) age: 61.6 (12.

Disease foci of pharmaceutical research and development as reflected in applications for International Nonproprietary Names, 1953-2022.

Objective: To evaluate trends in pharmaceutical research and development, and to correlate these trends with global medical need.

Methods: We obtained details of proposed pharmaceutical substances from 1953 to 2022 from the International Nonproprietary Names (INN) database. We used the DrugBank and Cortellis databases to obtain the INN included in approved medicines over the same period.

Formulation, Characterization, and Antioxidant Properties of Chitosan Nanoparticles Containing Phenolic Compounds from Olive Pomace.

Olive phenolic compounds like hydroxytyrosol (OH-Tyr), tyrosol (Tyr), and their precursors have different health-promoting properties, mainly based on their strong antioxidant capacity. However, their presence in extra-virgin olive oil (EVOO) is scarce since they are primarily contained in the by-products of oil production, such as olive pomace (OP). The aim of this work was to extract and encapsulate OP phenolic compounds into chitosan-tripolyphosphate nanoparticles (NPs) using an ionotropic gelation lyophilization approach to increase their resistance to environmental and chemical stress.

Emergence of structures in neuronal network activities.

Nonlinear responses of individual neurons are both experimentally established and considered fundamental for the functioning of neuronal circuitry. Consequently, one may envisage the collective dynamics of large networks of neurons exhibiting a large repertoire of nonlinear behaviors. However, an ongoing and central challenge in the modeling of neural dynamics involves the trade-off between tractability and biological realism.