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Implementing professional support systems that are beneficial to the professional needs of faculty of color (FOC) have been found to promote positive work environments. Using a Critical Race Theory lens, the results of this qualitative study yielded two important themes related to support for counselor educators of color: (1) culturally responsive mentoring; and (2) purposeful support toward tenure and promotion. Culturally relevant implications that addresses programs and systems have been provided.

Black sea bass (Centropristis striata; BSB) are a commercially managed species with an increasing population in the Northwest Atlantic Ocean. Understanding their movement ecology can be difficult due to their wide distribution and ability to inhabit both inshore and offshore reef habitats. BSB have been studied using a range of tagging techniques, and here we present the results of the first deployments of pop‐up satellite archival tags (PSAT) on this species. During 2019 and 2021, we conducted four fishing trips within the southern Mid‐Atlantic Bight region of the NW Atlantic and tagged a total of 30 fish with T‐bar tags and external data loggers, of which 4 received a PSAT and the rest received a Star‐Oddi conductivity–temperature–depth (CTD) archival tag. All PSATs transmitted some data, with short attachment durations (8–32 days) relative to the programmed release of 250 days, and we did not recover a Star‐Oddi tag. External tag attachment techniques need to be examined and improved before continued deployment of larger data loggers on BSB. [ABSTRACT FROM AUTHOR]

Simple Summary: Cancer patients, especially long-distance patients, often struggle to receive timely and precise medical information and support for their symptom management and survivorship care. ChatGPT-4's responses to queries concerning head and neck (HN) cancer remain questionable. The purpose of this study was to develop and validate a retrained large language model (LLM) for HN cancer patients. In this cross-sectional study, the presented LLM was retrained with a high-quality user-defined knowledge base. The responses from the LLM to patients' questions were validated against human responses, and the model showed a superior performance, with average scores of 4.25 for accuracy, 4.35 for clarity, 4.22 for completeness, and 4.32 for relevance, on a 5-point scale. The confined-trained LLM with a high-quality user-defined knowledge base demonstrates high accuracy, clarity, completeness, and relevance in offering evidence-based information and guidance on the symptom management and survivorship care for head and neck cancer patients. Purpose: This study aimed to develop a retrained large language model (LLM) tailored to the needs of HN cancer patients treated with radiotherapy, with emphasis on symptom management and survivorship care. Methods: A comprehensive external database was curated for training ChatGPT-4, integrating expert-identified consensus guidelines on supportive care for HN patients and correspondences from physicians and nurses within our institution's electronic medical records for 90 HN patients. The performance of our model was evaluated using 20 patient post-treatment inquiries that were then assessed by three Board certified radiation oncologists (RadOncs). The rating of the model was assessed on a scale of 1 (strongly disagree) to 5 (strongly agree) based on accuracy, clarity of response, completeness s, and relevance. Results: The average scores for the 20 tested questions were 4.25 for accuracy, 4.35 for clarity, 4.22 for completeness, and 4.32 for relevance, on a 5-point scale. Overall, 91.67% (220 out of 240) of assessments received scores of 3 or higher, and 83.33% (200 out of 240) received scores of 4 or higher. Conclusion: The custom-trained model demonstrates high accuracy in providing support to HN patients offering evidence-based information and guidance on their symptom management and survivorship care. [ABSTRACT FROM AUTHOR]

Background: Communication and interpersonal skills are essential medical components of oncology patient care. Patients and families rely on physicians for treatment, expertise, guidance, hope, meaning, and compassion throughout a life-threatening illness. A provider's inability to empathize with patients is linked to physician-related fatigue and burnout. Because oncology training programs focus on teaching evidence-based medicine and clinical acumen, little time may be dedicated to professional development and acquisition of interactive skills. Traditional communication courses typically include two components: formal, knowledge-based learning skills, which are gained from didactic lectures, and role-playing, which usually occurs in small groups. We report the implementation of a novel longitudinal communication curriculum for trainees in Oncology. Materials and Methods: At a single-center institution, an innovative communication curriculum titled "REFLECT" (Respect, Empathy, Facilitate Effective Communication, Listen, Elicit Information, Compassion, and Teach Others) was implemented for radiation oncology residents and medical oncology fellows to improve and refine physician/patient interactions. All oncology specialty residents and fellows were eligible to participate in this communication curriculum. The curriculum emphasized a reflective process to guide trainees through challenging scenarios. Results: Since October 2018, this comprehensive course consisted of quarterly (four hour) workshops comprising assigned reading, knowledge assessments, didactic lectures, expert guest lecturers, standardized patient simulations, role-playing, patient/expert panels, coaching, reflective writing, and debriefing/feedback sessions. The curriculum provided longitudinal communication training integrated with the learners' daily physician/patient encounters rather than occasional isolated experiences. Fifteen workshops have been completed. Each focused on navigating challenging situations with patients, loved ones, or colleagues. Conclusions: Future directions of the curriculum will entail improving the communication skills of oncology trainees and gathering communication improvement data to assess the program's success formally. [ABSTRACT FROM AUTHOR]

"The Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)," requires that symptoms of ADHD must be "developmentally inappropriate" in order for an ADHD diagnosis to be considered. Because the DSM-5 does not specifically outline procedure for determining developmental inappropriateness of behaviors, practitioners do not have guidance for making this consideration. To explore the relationship between mental age and behavior ratings of ADHD symptoms, the cognitive and behavioral data from 50 children who were evaluated in a school or clinic were compiled for this study. Cognitive ability scores were used to calculate mental age and behavior rating scores were then recalculated using the assessed mental age. Using the recalculated behavior ratings, scores based on mental age decreased significantly on the Attention Problems, Hyperactivity, and Atypicality scales of the BASC-2. Additionally, as the discrepancy between mental and chronological age increased, larger differences in scores were found.