Psychoneuroimmunology (PNI), also referred to as psychoendoneuroimmunology (PENI) or psychoneuroendocrinoimmunology (PNEI), is the study of the interaction between psychological processes and the nervous and immune systems of the human body.[1] PNI takes an interdisciplinary approach, incorporating psychology, neuroscience, immunology, physiology, genetics, pharmacology, molecular biology, psychiatry, behavioral medicine, infectious diseases, endocrinology, and rheumatology.
The main interests of PNI are the interactions between the nervous and immune systems and the relationships between mental processes and health. PNI studies, among other things, the physiological functioning of the neuroimmune system in health and disease; disorders of the neuroimmune system (autoimmune diseases; hypersensitivities; immune deficiency); and the physical, chemical and physiological characteristics of the components of the neuroimmune system in vitro, in situ, and in vivo.
They believe so strongly in what they are fighting for that they continue fighting; they are willing to sacrifice their own lives to achieve a greater good<span />
Answer:
One example of cognitive bias is the confirmation bias. Confirmation bias is the tendency to search for, interpret, favor and recall information in a way that confirms or strengthens one's prior personal beliefs or hypothesis. Confirmation bias can prevent one from considering other information when making decisions since they tend to only see factors that support their personal beliefs. This can lead to poor or faulty choices.
In digital security, confirmation bias unconsciously affect security professionals; for example an experienced security analyst may decide or conclude what happened prior to investigating a data breach due to previous events and experiences.
Explanation:
Cognitive biases are defined as errors in thinking that influence how an individual to make decisions. Examples of cognitive biases in digital security or private scenario include: aggregate bias, the fundamental attribution error, the framing effect, anchoring bias, availability bias and confirmation bias.