Prediction of efficiencies for diverse prime editing systems in multiple cell types.

Applications of prime editing are often limited due to insufficient efficiencies, and it can require substantial time and resources to determine the most efficient pegRNAs and prime editors (PEs) to generate a desired edit under various experimental conditions. Here, we evaluated prime editing efficiencies for a total of 338,996 pairs of pegRNAs including 3,979 epegRNAs and target sequences in an error-free manner. These datasets enabled a systematic determination of factors affecting prime editing efficiencies. Then, we developed computational models, named DeepPrime and DeepPrime-FT, that can predict prime editing efficiencies for eight prime editing systems in seven cell types for all possible types of editing of up to 3 base pairs. We also extensively profiled the prime editing efficiencies at mismatched targets and developed a computational model predicting editing efficiencies at such targets. These computational models, together with our improved knowledge about prime editing efficiency determinants, will greatly facilitate prime editing applications.

Gender bias in teaching evaluations: the causal role of department gender composition.

Women are underrepresented in academia's higher ranks. Promotion oftentimes requires positive student-provided course evaluations. At a U.S. university, both an archival and an experimental investigation uncovered gender discrimination that affected both men and women. A department's gender composition and the course levels being taught interacted to predict biases in evaluations. However, women were disproportionately impacted because women were more often in the gender minority. A subsequent audit of the university's promotion guidelines suggested a disproportionate impact on women's career trajectories. Our framework was guided by role congruity theory, which poses that workplace positions are gendered by the ratios of men and women who fill them. We hypothesized that students would expect educators in a department's gender majority to fill more so essential positions of teaching upper-level courses and those in the minority to fill more so supportive positions of teaching lower-level courses. Consistent with role congruity theory when an educator's gender violated expected gendered roles, we generally found discrimination in the form of lower evaluation scores. A follow-up experiment demonstrated that it was possible to change students' expectations about which gender would teach their courses. When we assigned students randomly to picture themselves as students in a male-dominated, female-dominated, or gender-parity department, we shifted their expectations of whether men or women would teach upper- and lower-level courses. Violating students' expectations created negative biases in teaching evaluations. This provided a causal link between department gender composition and discrimination. The importance of gender representation and ameliorating strategies are discussed.

Resident Assessment of Clinician Educators According to Core ACGME Competencies.

BACKGROUND: The Accreditation Council for Graduate Medical Education (ACGME) requires faculty to pursue annual development to enhance their teaching skills. Few studies exist on how to identify and improve the quality of teaching provided by faculty educators. Understanding the correlation between numeric scores assigned to faculty educators and their tangible, practical teaching skills would be beneficial. OBJECTIVE: This study aimed to identify and describe qualities that differentiate numerically highly rated and low-rated physician educators. DESIGN: This observational mixed-methods study evaluated attending physician educators between July 1, 2015, and June 30, 2021. Quantitative analysis involved descriptive statistics, normalization of scores, and stratification of faculty into tertiles based on a summary score. We compared the highest and lowest tertiles during qualitative analyses of residents' comments. PARTICIPANTS: Twenty-five attending physicians and 111 residents in an internal medicine residency program. MAIN MEASURES: Resident evaluations of faculty educators, including 724 individual assessments of faculty educators on 15 variables related to the ACGME core competencies. KEY RESULTS: Quantitative analyses revealed variation in attending physician educators' performance across the ACGME core competencies. The highest-rated teaching qualities were interpersonal and communication skills, medical knowledge, and professionalism, while the lowest-rated teaching quality was systems-based practice. Qualitative analyses identified themes distinguishing high-quality from low-quality attending physician educators, such as balancing autonomy and supervision, role modeling, engagement, availability, compassion, and excellent teaching. CONCLUSIONS: This study provides insights into areas where attending physicians' educational strategies can be improved, emphasizing the importance of role modeling and effective communication. Ongoing efforts are needed to enhance the quality of faculty educators and resident education in internal medicine residency programs.

Economic evaluations of therapeutic drug monitoring interventions in acute hospital-based settings: A systematic review.

AIMS: Therapeutic drug monitoring (TDM) aims to optimize drug therapy. As demand on health resources increases, and the technology underpinning TDM becomes more sophisticated, the economic benefits of TDM in hospitals is unclear. The aim of this systematic review was to summarize the economic evidence that could be used to support investment in TDM in hospital settings. In so doing, we sought to provide guidance for future economic evaluations. METHODS: Medline, Embase, CENTRAL, Econlit and NHS Economic Evaluation databases were searched (inception to December 2022) for economic evaluations of hospital-based TDM. Two authors reviewed the studies and extracted data. Overall quality of economic analysis reporting was assessed using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. RESULTS: Ten prospective studies (including six randomized studies) and nine retrospective studies were eligible. Overall study reporting was poor, publications meeting a median (range) of 61% (46-82%) of CHEERS checklist criteria. An antimicrobial TDM intervention for adult patients was the focus of most studies (n = 18). Variable clinical outcomes were reported, and length of stay was the primary economic outcome for most studies (n = 13). The majority of studies determined that TDM was economically and clinically favourable (n = 14), four studies reporting a cost-reduction in patient sub-populations. CONCLUSIONS: Significant improvements in both economic and clinical outcomes may be realized with TDM interventions, particularly when targeted to complex patient populations. Attainment of therapeutic target could serve as a feasible surrogate measure of benefit for hospital-based TDM interventions. However, systematic reporting of economic outcomes is needed to inform investment decisions.

Documenting the Full Value of Vaccination: A Systematic Review of Value Frameworks.

OBJECTIVES: Economic evaluations of vaccination may not fully account for nonhealth patient impacts on families, communities, and society (ie, broader value elements). Omission of broader value elements may reflect a lack of established measurement methodology, lack of agreement over which value elements to include in economic evaluations, and a lack of consensus on whether the value elements included should vary by vaccination type or condition. We conducted a systematic review of value frameworks to identify broader value elements and measurement guidance that may be useful for capturing the full value of vaccination. METHODS: We searched Ovid MEDLINE, PubMed, Embase, and the gray literature to identify value frameworks for all health interventions, and we extracted information on each framework's context, value elements, and any available guidance on how these elements should be measured. We used descriptive statistics to analyze and compare the prevalence of broader value elements in vaccination value frameworks and other healthcare-related value frameworks. RESULTS: Our search identified 62 value frameworks that met inclusion criteria, 9 of which were vaccination specific. Although vaccination frameworks included several broader value elements, such as reduced transmissibility and public health benefits, the elements were represented inconsistently across the frameworks. Vaccination frameworks omitted several value elements included in nonvaccination-specific frameworks, including dosing and administration complexity and affordability. In addition, guidance for measuring broader value elements was underdeveloped. CONCLUSIONS: Future efforts should further evaluate inclusion of broader value elements in economic evaluations of vaccination and develop standards for their subsequent measurement.

Challenges of Incorporating Life Cycle Drug Pricing in Cost-Effectiveness Models: A Review of Methods and Modeling Suggestions.

OBJECTIVES: This study aimed to conduct a review of existing methods used to incorporate life cycle drug pricing (LCDP) in cost-effectiveness analyses (CEAs), identify common methodological challenges, and suggest modeling approaches for prospectively implementing LCDP in CEA. METHODS: Two complementary searches were conducted in PubMed, combined with hand searching and reference mining, to identify English language full-text articles that explored (1) how drug prices change over time and (2) methods used to apply dynamic pricing in cost-effectiveness models (CEMs). Relevant articles were reviewed, and authors discussed the common methodological practices used in the literature and their associated challenges on prospectively implementing LCDP in CEMs. For each key challenge identified, we provide modeling suggestions to address the issue. RESULTS: We screened 1200 studies based on title and abstract; 117 were reviewed for eligibility, and 47 individual studies were included across both searches. Variations in prices over a product's life cycle are complex and multifactorial, and models applying LCDP in CEA varied in their methodology. We identified 4 key challenges to modeling LCDP in CEA, including how to model price trends before and after loss of exclusivity, how to capture the effect of price changes on future patient cohorts, and how to report results. CONCLUSION: Accurately quantifying the impact of LCDP requires careful consideration of multiple aspects pertaining to both the evolution of drug prices and how to reflect these in CEA. Although uncertainties remain, our findings can aid implementation and evaluation of LCDP in economic evaluations.

Longitudinal associations between lie evaluations and frequency: The moderating role of age.

While previous studies have demonstrated correlations between children and adolescents' evaluations of lies and lie-telling behaviors, the temporal order of these associations over time and changes across this developmental period remain unexamined. The current study examined longitudinal associations among children and adolescents' (N = 1128; Mage = 11.54, SD = 1.68, 49.80% male, and 83.6% white) evaluations of lies to parents for autonomy and lie-telling frequency to parents and friends. Autoregressive cross-lagged analysis revealed longitudinal associations moderated by age. Among children, evaluations of lies predicted greater lie-telling rates over time. Conversely, among adolescents, lie-telling frequency predicted lie evaluations over time, and evaluations predicted lying to parents over time. These results demonstrate a novel developmental pattern of the associations between moral evaluations of lies and lie-telling. RESEARCH HIGHLIGHTS: Children and adolescents' evaluations of lie-telling and lie-telling frequency were associated longitudinally, but the direction of this association was moderated by age. Among children, more positive lie evaluations predicted greater lie-telling to parents and friends over time. Among adolescents, more positive lie evaluations predicted lying more often to parents over time; lying more to parents and friends predicted more positive evaluations over time. These findings suggest a novel developmental pattern regarding the temporal order of the association between evaluations of lie-telling and lie-telling frequency.

Discrepancies in Mate Preferences among Chinese Families between Fathers, Mothers, and Children: A Latent Profile Analysis.

Parents develop their own preferences regarding prospective in-laws, which influence their children's mate selection processes and outcomes. From an evolutionary perspective, fathers, mothers, and their offspring have partially divergent genetic interests, potentially leading to conflicts in mate preferences. Currently, the characteristics of discrepancy profiles in mate preferences within Chinese families and their influencing factors remain unclear. Adopting an individual-centered perspective, this study examined the profiles of discrepancies in mate preferences between fathers, mothers, and children across a diverse set of Chinese families, along with their associations with family relations and evaluations of children. This study recruited 337 complete families. The results revealed three distinct profiles of father-mother mate preference discrepancies in families with sons and four profiles in families with daughters. Additionally, both families with sons and daughters displayed three profiles of discrepancies in parent-child mate preferences. Parental perceptions of marital relationships and their evaluations of children were linked to diverse father-mother discrepancy profiles in both families with sons and daughters. The father-son relationship was associated with the profiles of parent-child discrepancies in families with sons, while maternal evaluations of children and daughters' self-evaluations were related to the profiles of parent-child discrepancies in families with daughters. This study provides insights into understanding the conflict patterns and underlying reasons regarding mate preference between Chinese parents and their children within family settings.

Emotional labor and burnout among nurses in Iran: core self-evaluations as mediator and moderator.

BACKGROUND: This study investigated the mediating and moderating impact of core self-evaluations in the path from emotional labor to burnout. Our hypothesized associations are based on Hobfoll (Rev Gen Psychol 6:307-24, 2002) conservation of resources theory. METHOD: Three hundred nurses from four hospitals in Abadan, Iran, were invited to participate in our study. Of the 300, 255 completed all sections and questions in our survey for an 85% response rate. The posited direct and indirect effects were evaluated with structural equation modeling and the interaction effects were evaluated with hierarchical moderated regression and simple regression slope plots. RESULT: Deep acting has indirect effects on burnout through core self-evaluations. Though unrelated to surface acting, core self-evaluations moderate its impact: under low core self-evaluations, surface acting is strongly related to emotional exhaustion and inversely related to personal accomplishment, whereas, under high core self-evaluations, surface acting is unrelated to these burnout dimensions. CONCLUSION: Our findings reveal the dual functions of CSE as a psychological resource and buffer to offset the interpersonal demands of patient care. Limitations, directions for future research, and practical implications are discussed.

Moral evaluations of children's truths and lies in a prosocial context: The role of reputation.

The current investigation examined the influence of a child's reputation on 7- to 12-year-olds' (Study 1; N = 146) and parents' (Study 2; N = 198) moral evaluations of the child's blunt truths (i.e., truths told despite possible hurt feelings) and prosocial lies (i.e., lies told to protect another's feelings). In Study 1, children were read a series of vignettes in which a child, described as being smart, kind, or clean (with clean serving as the irrelevant control reputation), told either the blunt truth or a prosocial lie that varied in content (opinions or facts). In Study 2, parents evaluated the same vignettes and reputations as in Study 1 with the addition of a troublemaker reputation. The reputation of the child protagonist significantly influenced both children's and parents' moral evaluations. Children rated the kind child's lies more positively, and parents rated the smart child's truths and lies less positively, than those of the clean (control) child when told about opinions. No differences were noted in the facts content condition. Findings suggest that a child's perceived reputation may influence both children's and adults' moral interpretations of the child's honesty behaviors.

Rejecting ingroup loyalty for the truth: Children's and adolescents' evaluations of deviant peers within a misinformation intergroup context.

Typically, children and adolescents dislike peers who deviate from their peer group's norm, preferring normative peers who are loyal to the peer ingroup. Yet children and adolescents also consider whether the behavior displayed by a deviant peer aligns with generic societally valued norms when evaluating peers within intergroup contexts. In an age where misinformation is rampant online, seeking the truth exemplifies a generic norm that is widely valued but not always upheld given that individuals often show loyalty to the ingroup. The current research explored the conflict between ingroup loyalty and seeking the truth. In this study, participants (N = 266; 8-15 years old) read about their school participating in an inter-school competition where their ingroup peer either accidentally or deliberately shared misinformation about their outgroup competitor. Participants with a peer group norm of ingroup loyalty positively morally evaluated a norm deviant seeking the truth, whereas those with a peer group norm of seeking the truth negatively morally evaluated a norm deviant showing ingroup loyalty. Participants also took into account the intentions of the misinformer in their evaluations of a deviant who was either loyal or questioning toward the misinformer. Overall, this study suggests that the norm of truth-seeking is welcomed and regarded as an important value to uphold both generically and at a peer group level, even when it violates the norm of ingroup loyalty. This research provides a novel contribution to understanding how factors like norms and intentionality interact with children's and adolescents' navigation of information in an age of misinformation.

Unpacking differences in post-exercise affective experiences between physically underactive and active individuals.

BACKGROUND: Affective response to exercise (i.e., how individuals feel during- and post-exercise) as well as post-behavioral evaluations of affective experiences with exercise (i.e., reflecting on the experience after engaging in exercise) may be important determinants of regular exercise. PURPOSE: We compared post-exercise affective response and post-behavioral evaluations of exercise between a physically active and underactive group. Physically active (n = 32) and underactive (n = 25) participants completed a 10-minute treadmill bout of vigorous exercise and reported affective valence, positive activated affect, negative activated affect, calmness, fatigue and relief at various points during and/or after the bout. RESULTS: As expected, both groups reported an improvement in affective valence immediately post-exercise (ps < 0.001). This improvement in affective valence was associated with a concurrent decrease in negative affect (ps < 0.05) for the physically underactive group and was only associated with a concurrent increase in positive affect (ps < 0.02) for the active group. There were significant differences between physically active and underactive groups in pre-post exercise changes in positive activated affect (ps < 0.005). The underactive group reported greater relief than the active group at all-post exercise time-points (ps < 0.05). CONCLUSIONS:  These findings have implications for understanding post-exercise affective response and post-behavioral evaluations of exercise and for interventions directed at influencing the post-exercise affective response and behavioral evaluations of exercise in physically underactive individuals.

Vegetarian, vegan, or plant-based? Comparing how different labels influence consumer evaluations of plant-based foods.

Market actors have a role to play in enabling sustainable food transitions. One challenge for these actors is how to promote plant-based foods in ways that appeal to a growing number of consumers. Here we test how different plant-based related labels affect consumer appraisals of a range of foods (cookies, sausages, cheese, chocolate, pasta). In two studies (pre-registered; NUSA = 1148, NGermany = 491), we examined the effects of a 'vegetarian', 'vegan', or 'plant-based' label (compared to no label) on five attributes (healthy, tasty, ethical, pure, environmentally friendly) related to the products. We also measured self-reported likelihood to purchase the products. Overall, the results indicated that the 'plant-based' label was slightly more appealing to participants than the 'vegetarian' and 'vegan' labels. However, contrary to our expectations, neither consumers' information-seeking tendencies nor their pre-existing attitudes toward plant-based foods influenced (i.e., moderated) the effects of the labels. Anticipated taste was a strong and consistent predictor of purchase likelihood for all labeled products, but the ethical and pure attributes also accounted for unique variance in this outcome variable. Taken together, our findings and discussion provide insights into the role of labels and label terminology on consumer appraisals of plant-based foods.

Four studies yield limited evidence for prepared (disgust) learning via evaluative conditioning.

Prepared learning accounts suggest that specialized learning mechanisms increase the retention of associations linked to ancestrally-prevalent threats. Few studies have investigated specialized aversion learning for pathogen threats. In four pre-registered studies (N's = 515, 495, 164, 175), we employed an evaluative conditioning procedure to test whether foods (versus non-foods) are more readily associated with negative content associated with pathogens than negative content not associated with pathogens. Participants saw negatively valenced (either pathogen-relevant or -irrelevant), neutral or positively-valenced stimuli paired with meats and plants (in Studies 1 and 2) and with meats and abstract shapes (in Studies 3 and 4). They then evaluated each stimulus explicitly via self-reports (Studies 1-4) and implicitly via an Affect Misattribution Procedure (Studies 3 and 4). Linear mixed models revealed general evaluative conditioning effects, but inconsistent evidence for specialized (implicit or explicit) learning for a food-pathogen association. However, results from a mega-analysis across studies revealed stronger conditioning effects for meats paired with pathogen-relevant negative stimuli than pathogen-irrelevant negative stimuli.

A systematic review on reporting quality of economic evaluations for negotiated glucose-lowering drugs in China national reimbursement drug list.

BACKGROUND: This study aimed to examine the reporting quality of existing economic evaluations for negotiated glucose-lowering drugs (GLDs) included in China National Reimbursement Drug List (NRDL) using the Consolidated Health Economic Evaluation Reporting Standards 2013 (CHEERS 2013). METHODS: We performed a systematic literature research through 7 databases to identify published economic evaluations for GLDs included in the China NRDL up to March 2021. Reporting quality of identified studies was assessed by two independent reviewers based on the CHEERS checklist. The Kruskal-Wallis test and Mann-Whitney U test were performed to examine the association between reporting quality and characteristics of the identified studies. RESULTS: We have identified 24 studies, which evaluated six GLDs types. The average score rate of the included studies was 77.41% (SD:13.23%, Range 47.62%-91.67%). Among all the required reporting items, characterizing heterogeneity (score rate = 4.17%) was the least satisfied item. Among six parts of CHEERS, results part scored least at 0.55 (score rate = 54.79%) because of the incompleteness of characterizing uncertainty. Results from the Kruskal-Wallis test and Mann-Whitney U test showed that model choice, journal type, type of economic evaluations, and study perspective were associated with the reporting quality of the studies. CONCLUSIONS: There remains room to improve the reporting quality of economic evaluations for GLDs in NRDL. Checklists such as CHEERS should be widely used to improve the reporting quality of economic researches in China.

Pulmonary Atresia with Intact Ventricular Septum: Correlation of Preoperative Computed Tomography-Derived Parameters with Echocardiographic Tricuspid Valve Z-Score and Surgical Outcomes.

The role of preoperative cardiac computed tomography (CT) in neonates with pulmonary atresia and intact ventricular septum (PA-IVS) remains unclear. This study was aimed to elaborate the role of preoperative CT-derived anatomical and functional findings in planning treatment strategies in neonates with PA-IVS. The presence of ventriculocoronary arterial connections was evaluated by CT. CT-derived ventricular volumetric parameters were compared and correlated with echocardiographic tricuspid valve (TV) z-score in 12 neonates with PA-IVS. Cardiac CT and echocardiographic findings were compared between definite surgical types (median follow-up, 4 years). Ventriculocoronary arterial connections were identified with CT in 58.3% of cases (7/12) and associated with higher incidence of Fontan procedure (42.9%, 3/7) and high mortality (28.6%, 2/7). The CT-derived and echocardiographic TV z-scores exhibited a high correlation (R = 0.924, p < 0.001). The CT-derived right ventricle (RV) volume and RV-left ventricle volume ratio also displayed high correlations (R = 0.875 and 0.867, respectively; p < 0.001) with echocardiographic TV z-score. More positive echocardiographic TV z-score, high CT-derived RV end-diastolic volume and RV-left ventricle volume ratio, and low CT-derived left ventricular end-diastolic volume were observed in biventricular surgery group (N = 2), compared to Fontan operation (N = 3) and 1.5 ventricular surgery (N = 3) groups, and mortality cases (N = 3). Preoperative CT-derived coronary artery anatomy and ventricular volumetric parameters may supplement treatment planning in neonates with PA-IVS especially when multifactorial decision including echocardiographic TV z-score is in a gray zone.W.

Evaluation of bias and gender/racial concordance based on sentiment analysis of narrative evaluations of clinical clerkships using natural language processing.

There is increasing interest in understanding potential bias in medical education. We used natural language processing (NLP) to evaluate potential bias in clinical clerkship evaluations. Data from medical evaluations and administrative databases for medical students enrolled in third-year clinical clerkship rotations across two academic years. We collected demographic information of students and faculty evaluators to determine gender/racial concordance (i.e., whether the student and faculty identified with the same demographic). We used a multinomial log-linear model for final clerkship grades, using predictors such as numerical evaluation scores, gender/racial concordance, and sentiment scores of narrative evaluations using the SentimentIntensityAnalyzer tool in Python. 2037 evaluations from 198 students were analyzed. Statistical significance was defined as P < 0.05. Sentiment scores for evaluations did not vary significantly by student gender, race, or ethnicity (P = 0.88, 0.64, and 0.06, respectively). Word choices were similar across faculty and student demographic groups. Modeling showed narrative evaluation sentiment scores were not predictive of an honors grade (odds ratio [OR] 1.23, P = 0.58). Numerical evaluation average (OR 1.45, P < 0.001) and gender concordance between faculty and student (OR 1.32, P = 0.049) were significant predictors of receiving honors. The lack of disparities in narrative text in our study contrasts with prior findings from other institutions. Ongoing efforts include comparative analyses with other institutions to understand what institutional factors may contribute to bias. NLP enables a systematic approach for investigating bias. The insights gained from the lack of association between word choices, sentiment scores, and final grades show potential opportunities to improve feedback processes for students.

Exploring the use of ChatGPT to analyze student course evaluation comments.

BACKGROUND: Since the release of ChatGPT, numerous positive applications for this artificial intelligence (AI) tool in higher education have emerged. Faculty can reduce workload by implementing the use of AI. While course evaluations are a common tool used across higher education, the process of identifying useful information from multiple open-ended comments is often time consuming. The purpose of this study was to explore the use of ChatGPT in analyzing course evaluation comments, including the time required to generate themes and the level of agreement between instructor-identified and AI-identified themes. METHODS: Course instructors independently analyzed open-ended student course evaluation comments. Five prompts were provided to guide the coding process. Instructors were asked to note the time required to complete the analysis, the general process they used, and how they felt during their analysis. Student comments were also analyzed through two independent Open-AI ChatGPT user accounts. Thematic analysis was used to analyze the themes generated by instructors and ChatGPT. Percent agreement between the instructor and ChatGPT themes were calculated for each prompt, along with an overall agreement statistic between the instructor and two ChatGPT themes. RESULTS: There was high agreement between the instructor and ChatGPT results. The highest agreement was for course-related topics (range 0.71-0.82) and lowest agreement was for weaknesses of the course (range 0.53-0.81). For all prompts except themes related to student experience, the two ChatGPT accounts demonstrated higher agreement with one another than with the instructors. On average, instructors took 27.50 ± 15.00 min to analyze their data (range 20-50). The ChatGPT users took 10.50 ± 1.00 min (range 10-12) and 12.50 ± 2.89 min (range 10-15) to analyze the data. In relation to reviewing and analyzing their own open-ended course evaluations, instructors reported feeling anxiety prior to the process, satisfaction during the process, and frustration related to findings. CONCLUSIONS: This study offers valuable insights into the potential of ChatGPT as a tool for analyzing open-ended student course evaluation comments in health professions education. However, it is crucial to ensure ChatGPT is used as a tool to assist with the analysis and to avoid relying solely on its outputs for conclusions.

Introduction to special issue on social media for forensic mental evaluations.

This special issue of Behavioral Sciences & the Law presents six articles that focus on various issues related to social media in forensic mental health evaluations. These eclectic articles provide updated information about social media's use and navigating difficult ethical concerns. Ranging from violence risk assessment to disability evaluations, the up-to-date information in this special issue allows the forensic evaluator to be more prepared when they inevitably encounter information from social media. As social media continues to grow, both in terms of overall use and the number of available platforms, forensic clinicians will need to remain cognizant of the ways these data can be appropriately utilized as collateral data.

Neurobiological evidence and criminal competencies.

Neuroimaging and other neurobiological evidences are increasingly introduced in criminal litigation, especially when a neuropsychiatric disorder is suspected. Evaluations of criminal competencies are the most common type of criminal forensic assessment in forensic psychiatry and psychology. Given this, it is critical for forensic evaluators to understand how neuropsychiatric disorders may affect a defendant's criminal competencies and how neurobiological data may be used in competency determinations. This paper reviews the use of neurobiological data, particularly neuroimaging, while considering the limitations and potential misuse of such data in criminal competency evaluations.