Patents, innovation, and privatization: Commentary on: "Data management in academic settings: an intellectual property perspective"

The framers of the U.S. Constitution believed that intellectual property rights were crucial to scientific advancement. Yet, the framers also recognized the need to balance innovation, privatization, and public use. The courts’ expansion of patent protection for biotechnology innovations in the last 30 years raises the question whether the patent system effectively balances these concerns. While the question is not new, only through a thorough and thoughtful examination of these issues can the current system be evaluated. It is then a policy decision for Congress if any change is necessary.     

On the relationship between negative affective priming and prefrontal cognitive control mechanisms

Although several studies have examined inhibition of affective stimuli, valence-dependent cognitive control effects remain poorly understood. Behavioural and functional imaging (functional magnetic resonance imaging) data were collected from 17 healthy participants to examine neural correlates of the Negative Affective Priming (NAP) task. We created relative ratio scores considering the reaction times of prime trials in order to assess the amount of interference after the presentation of negative and positive distracter words. Behavioural results showed an attenuated NAP effect for negative distracters compared to neutral stimuli. Furthermore, priming negative distracters generated more interference by reacting to the probe target than positive distracters. Neuroimaging data revealed a stronger prefrontal activation during negative NAP trials compared to positive NAP and neutral control trials, which was reflected in a heightened activation of superior and middle frontal gyrus as well as parietal cortex. The findings show the impact of negative distracters on prefrontal response, contributing to the understanding of NAP effects in healthy subjects.     

Personality Research and Assessment in the Era of Machine Learning

The increasing availability of high-dimensional, fine-grained data about human behaviour, gathered from mobile sensing studies and in the form of digital footprints, is poised to drastically alter the way personality psychologists perform research and undertake personality assessment. These new kinds and quantities of data raise important questions about how to analyse the data and interpret the results appropriately. Machine learning models are well suited to these kinds of data, allowing researchers to model highly complex relationships and to evaluate the generalizability and robustness of their results using resampling methods. The correct usage of machine learning models requires specialized methodological training that considers issues specific to this type of modelling. Here, we first provide a brief overview of past studies using machine learning in personality psychology. Second, we illustrate the main challenges that researchers face when building, interpreting, and validating machine learning models. Third, we discuss the evaluation of personality scales, derived using machine learning methods. Fourth, we highlight some key issues that arise from the use of latent variables in the modelling process. We conclude with an outlook on the future role of machine learning models in personality research and assessment.     

Redundancy as a facilitator in the learning of complex verbal forms

A principle to account for mastering of complex linguistic forms was proposed. A total of 149 4- to 6-year-old children were tested to determine whether experience with redundant features (e.g., the word first) in the sentence facilitated later comprehension of equivalent nonredundant sentences expressing temporal order (before, after). The data showed that sentences were scalable as proposed, and that redundancy as a temporal marker facilitated later comprehension, but only for relatively low levels of complexity. Different findings by different experimenters highlight how apparently minor variations in experiments can result in different conclusions about comprehension strategies when one generalizes from studies that use subjects still acquiring language.This research was supported in part by a National Institute of Education grant, Project No. 4-470     

Multicollinearity and the use of regression analyses in discrimination litigation

Multicollinearity is a problem that can adversely affect the estimation of coefficients in regression equations. The types of regression models used as evidence in employment discrimination cases may be particularly susceptible to estimation problems resulting from multicollinearity, yet courts have in most instances failed to address this difficulty. This paper discusses the problems associated with multi- collinearity and suggests possible sources of the multicolli- nearity, particularly in the context of employment discrimination litigation. An academic example demonstrates how multicollinearity can be identified and corrected. Other possible techniques for curing the multicollinearity or reducing its effects are also presented. The related problem of “tainted” variables, often discussed by courts in employment discrimination litigation, is differentiated from the multicollinearity problem. For regression equations to be reliable and for inferences regarding discrimination to be accurately made, courts should concern themselves with multicollinearity, and not so-called “tainting.”     

Facial attractiveness and juvenile delinquency among black and white offenders

Facial pictures of black and white delinquents were significantly less attractive than pictures of corresponding groups of high school students, as judged by same-race raters. Significant differences were found among the white delinquents, but not among the black, for Quay's four behavioral dimensions of delinquency. Black delinquents were significantly darker in skin color than the black high school students, and lightness of skin color was positively correlated with physical attractiveness ratings made by both black and white raters, indicating that neither race has yet assimilated the saying black is beautiful. This and other evidence suggest that facial attractiveness may be causal in delinquency.These studies were conducted with the cooperation of the staff of the Robert F. Kennedy Youth Center, Federal Bureau of Prisons, U.S. Department of Justice. The center is not responsible for the contents of this report; the report does not necessarily represent the Center's views. The portion of this paper dealing with the white offenders was presented at the meeting of the Eastern Psychological Association, Boston, Massachusetts, April 1972.The authors would like to thank Hayne W. Reese for his assistance.     

Connecting adverse childhood experiences and community health to promote health equity

Adverse childhood experiences (ACEs) can have negative effects on health outcomes across the lifespan. Furthermore, the effects of ACEs are often compounded by social determinants of health and historical and contemporary trauma that can affect entire communities. The socio‐ecological model is a valuable framework for understanding the complex systems in which efforts to promote health equity are situated. Using a trauma‐informed lens, community health becomes a powerful focal point for viable prevention and treatment options to address ACEs and promote health equity. Self‐healing on a community level involves collective engagement; people most affected by ACEs and trauma come together around activities that have the potential to lift up the entire community and foster individual and community resilience. The use of community health research and evaluation methods that are consistent with trauma‐informed, empowerment approaches can contribute to community healing. This paper is intended to establish a common language for how community healing can address ACEs and foster health equity.     

Pain modulation during drives through cold and hot virtual environments.

Evidence exists that virtual worlds reduce pain perception by providing distraction. However, there is no experimental study to show that the type of world used in virtual reality (VR) distraction influences pain perception. Therefore, we investigated whether pain triggered by heat or cold stimuli is modulated by "warm "or "cold " virtual environments and whether virtual worlds reduce pain perception more than does static picture presentation. We expected that cold worlds would reduce pain perception from heat stimuli, while warm environments would reduce pain perception from cold stimuli. Additionally, both virtual worlds should reduce pain perception in general. Heat and cold pain stimuli thresholds were assessed outside VR in 48 volunteers in a balanced crossover design. Participants completed three 4-minute assessment periods: virtual "walks " through (1) a winter and (2) an autumn landscape and static exposure to (3) a neutral landscape. During each period, five heat stimuli or three cold stimuli were delivered via a thermode on the participant's arm, and affective and sensory pain perceptions were rated. Then the thermode was changed to the other arm, and the procedure was repeated with the opposite pain stimuli (heat or cold). We found that both warm and cold virtual environments reduced pain intensity and unpleasantness for heat and cold pain stimuli when compared to the control condition. Since participants wore a head-mounted display (HMD) in both the control condition and VR, we concluded that the distracting value of virtual environments is not explained solely by excluding perception of the real world. Although VR reduced pain unpleasantness, we found no difference in efficacy between the types of virtual world used for each pain stimulus.