It is argued that social scientists can address many of these limitations of Generative AI by creating open-source infrastructure for research on human behavior, not only to ensure broad access to high-quality research tools, but also because the progress of AI will require deeper understanding of the social forces that guide human behavior.
This work assemble and experiment with several of NLSOMs, leveraging mindstorms in them to solve some practical AI tasks: visual question answering, image captioning, text-to-image synthesis, 3D generation, egocentric retrieval, embodied AI, and general language-based task solving.
It is demonstrated that large language models exhibit behaviour that is consistent with the outputs of mentalistic inference in humans but also highlights the importance of systematic testing to ensure a non-superficial comparison between human and artificial intelligences.
The purpose of this review was to identify and analyze risk factors for the development of depressive disorders in women in the postpartum period, to study some manifestations of postpartum depression.
A roadmap for the ambitious yet responsible application of clinical LLMs in psychotherapy is provided and a vision is outlined for how LLMs might enable a new generation of studies of evidence-based interventions at scale, and how these studies may challenge assumptions about psychotherapy.
Participants with resolved persistent symptoms after Covid-19 had objectively measured cognitive function similar to that in participants with shorter-duration symptoms, although short-duration Covid-19 was still associated with small cognitive deficits after recovery.
A higher socio‐demographic index moderated lower recovery and higher chronicity in AN across countries, and children/adolescents had more favorable outcomes across and within EDs than adults.
It is suggested that, for MD, increasing ancestral and global diversity in genetic studies may be particularly important to ensure discovery of core genes and inform about transferability of findings.
High EQ can improve the authors' communications with all others, enhance their perception of satisfaction with ourselves and their lives and increase their productiveness overall.
SimBA is developed, an open-source, graphical user interface (GUI)-driven, well-documented package to facilitate the movement toward improved automation and sharing of behavioral classification tools across laboratories and provides an open-source framework.
The results provide a new, theory-driven, clinically validated and interpretable quantitative method to parse the biological heterogeneity of depression and anxiety and represent a promising approach to advance precision clinical care in psychiatry.
Estimates from the 2022 NSCH provide information on pediatric ADHD during the last full year of the COVID-19 pandemic and can be used by policymakers, government agencies, health care systems, public health practitioners, and other partners to plan for needs of children with ADHD.
A multi-ancestry meta-analysis of genome-wide association studies across 1,222,882 individuals of European ancestry and 58,051 admixed individuals with African and Native American ancestry identified 95 genome-wide significant loci (80 new), strengthening the understanding of neurobiological systems relevant to PTSD pathophysiology, while also opening new areas for investigation.
Inspired by Jürgen Habermas’s theory of communicative action, the “Habermas Machine” was designed to iteratively generate group statements that were based on the personal opinions and critiques from individual users, with the goal of maximizing group approval ratings.
This systematic review and component network meta-analysis including 241 trials found that cognitive restructuring, third-wave components, sleep restriction, stimulus control, and in-person format may be beneficial for chronic insomnia.
Temporal and geographical comparisons of suicide mortality in pre-adolescents, adolescents, and young adults from 1990 to 2020 or the most recent available year are monitored, showing relevant geographical differences.
In conclusion, gamification has demonstrated promise for promoting children’s and adolescents’ physical and mental health, and additional research is required to evaluate gamification interventions’ long-term effectiveness and sustainability in promoting health behaviors among this population.
Interventions that include a focus on the TDF domains 'environmental context and resources,' 'social influences,' and 'goals,' hold particular promise for promoting active student lifestyles.
It is found that GPT-4 and Flan-PaLM reach adult-level and near adult-level performance on ToM tasks overall, and that GPT-4 exceeds adult performance on 6th order inferences.
The conclusion is that most psychotherapies for the eight mental disorders are effective compared with control conditions, but absolute response rates are modest.
Higher TyG levels are associated with suicidal ideation and attempts, and the critical need to further research in this regard is emphasized and possibly integrate the TyG index measure with routine depression screening to avoid fatal events in the future.
This paper proposes a novel approach utilizing large language models (LLMs), with a focus on OpenAI's generative pre-trained transformer (GPT-3) embeddings and machine learning algorithms to classify social media posts as indicative or not of stress disorders.
The overall observed prevalence estimate was similar to estimates calculated using Bayesian hierarchical and random effects models, and ASD prevalence was lower among non-Hispanic White (White) children than among Asian or Pacific Islander (A/PI) children (27.7) than among Asian or Pacific Islander (A/PI) children (38.5).
The point prevalence of premenstrual dysphoric disorder using confirmed diagnosis is lower compared with provisional diagnosis, and studies relying on provisional diagnosis are likely to produce artificially high prevalence rates.
A narrative review found a consistent relationship between greater weight stigma and more disordered eating cognitions and behaviors.
This review synthesizes recent evidence for sleep—circadian dysfunction as a transdiagnostic contributor to a range of psychiatric disorders, with an emphasis on biological mechanisms.
The acceptance rate was shown to be adversely connected with AI-induced anxiety and integration expenses, posing obstacles for businesses seeking to embrace mobile payment systems, while characteristics such as perceived utility, usability, confidence in security, and backing from upper management were positively connected with adoption rates.
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