Using Win Odds to Improve Commit-to-Phase-3 Decision-Making in Oncology.

Making good decisions about whether to commit-to-phase 3 clinical trials is challenging. This is especially true in oncology because the relationships between the registration endpoint, overall survival, and endpoints such as progression-free survival and confirmed objective response are often poorly understood. We present a framework for decision-making based on a three-endpoint win odds.

Developing an Implementation Model for ADHD Intervention in Community Clinics: Leveraging Artificial Intelligence and Digital Technology.

Implementation of behavior therapy for ADHD faces challenges in community settings. We describe development of a community-based implementation model for adolescent ADHD behavior therapy (Supporting Teens' Autonomy Daily; STAND) blended with Motivational Interviewing (MI). A stakeholder-engaged development approach is used based on the Exploration, Preparation, Implementation, Sustainment (EPIS) framework.

Physiological traits contribute to growth and adaptation of Mexican maize landraces.

Local adaptation of populations results from an interplay between their environment and genetics. If functional trait variation influences plant performance, populations can adapt to their local environment. However, populations may also respond plastically to environmental challenges, altering phenotype without shifting allele frequencies.

Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning.

Importance: Use of asynchronous text-based counseling is rapidly growing as an easy-to-access approach to behavioral health care. Similar to in-person treatment, it is challenging to reliably assess as measures of process and content do not scale.

Objective: To use machine learning to evaluate clinical content and client-reported outcomes in a large sample of text-based counseling episodes of care.

Improving the quality of counseling and clinical supervision in opioid treatment programs: how can technology help?

Background: The opioid epidemic has resulted in expanded substance use treatment services and strained the clinical workforce serving people with opioid use disorder. Focusing on evidence-based counseling practices like motivational interviewing may be of interest to counselors and their supervisors, but time-intensive adherence tasks like recording and feedback are aspirational in busy community-based opioid treatment programs. The need to improve and systematize clinical training and supervision might be addressed by the growing field of machine learning and natural language-based technology, which can promote counseling skill via self- and supervisor-monitoring of counseling session recordings.

Azithromycin versus erythromycin infusions prior to endoscopy in upper gastrointestinal bleeding.

Background: Intravenous erythromycin prior to endoscopy for upper gastrointestinal bleeding (GIB) improves outcomes but requires immediate preparation delaying administration in emergency cases. Azithromycin is readily available and does not require prolonged preparation. The aim of the study was to assess the effect of azithromycin in improving the quality of endoscopic visualization in upper GIB compared to erythromycin.

Right-Wing Psychedelia: Case Studies in Cultural Plasticity and Political Pluripotency.

Recent media advocacy for the nascent psychedelic medicine industry has emphasized the potential for psychedelics to improve society, pointing to research studies that have linked psychedelics to increased environmental concern and liberal politics. However, research supporting the hypothesis that psychedelics induce a shift in political beliefs must address the many historical and contemporary cases of psychedelic users who remained authoritarian in their views after taking psychedelics or became radicalized after extensive experience with them. We propose that the common anecdotal accounts of psychedelics precipitating radical shifts in political or religious beliefs result from the contextual factors of set and setting, and have no particular directional basis on the axes of conservatism-liberalism or authoritarianism-egalitarianism.

Mindfulness-based interventions for substance use disorders.

Background: Substance use disorders (SUDs) are highly prevalent and associated with a substantial public health burden. Although evidence-based interventions exist for treating SUDs, many individuals remain symptomatic despite treatment, and relapse is common.Mindfulness-based interventions (MBIs) have been examined for the treatment of SUDs, but available evidence is mixed.

How do you feel? Using natural language processing to automatically rate emotion in psychotherapy.

Emotional distress is a common reason for seeking psychotherapy, and sharing emotional material is central to the process of psychotherapy. However, systematic research examining patterns of emotional exchange that occur during psychotherapy sessions is often limited in scale. Traditional methods for identifying emotion in psychotherapy rely on labor-intensive observer ratings, client or therapist ratings obtained before or after sessions, or involve manually extracting ratings of emotion from session transcripts using dictionaries of positive and negative words that do not take the context of a sentence into account.

Determining the therapist's contribution in therapist multicultural competence process and outcome.

Efforts to help therapists improve their multicultural competence (MCC) rely on measures that can distinguish between different levels of competence. MCC is often assessed by asking clients to rate their experiences with their therapists. However, differences in client ratings of therapist MCC do not necessarily provide information about the relative performance of therapists and can be influenced by other factors including the client's own characteristics.

Machine learning and natural language processing in psychotherapy research: Alliance as example use case.

Artificial intelligence generally and machine learning specifically have become deeply woven into the lives and technologies of modern life. Machine learning is dramatically changing scientific research and industry and may also hold promise for addressing limitations encountered in mental health care and psychotherapy. The current paper introduces machine learning and natural language processing as related methodologies that may prove valuable for automating the assessment of meaningful aspects of treatment.

Design feasibility of an automated, machine-learning based feedback system for motivational interviewing.

Direct observation of psychotherapy and providing performance-based feedback is the gold-standard approach for training psychotherapists. At present, this requires experts and training human coding teams, which is slow, expensive, and labor intensive. Machine learning and speech signal processing technologies provide a way to scale up feedback in psychotherapy.

Variability in motivational interviewing adherence across sessions, providers, sites, and research contexts.

Providers' adherence in the delivery of behavioral interventions for substance use disorders is not fixed, but instead can vary across sessions, providers, and intervention sites. This variability can substantially impact the quality of intervention that clients receive. However, there has been limited work to systematically evaluate the extent to which substance use intervention adherence varies from session-to-session, provider-to-provider, and site-to-site.

A multivariate meta-analysis of motivational interviewing process and outcome.

Motivational interviewing (MI) theory proposes a process whereby a set of therapist behaviors has direct effects on client outcomes and indirect effects through in-session processes (e.g., client change talk).

In pursuit of truth: A critical examination of meta-analyses of cognitive behavior therapy.

Objective: Three recent meta-analyses have made the claim, albeit with some caveats, that cognitive-behavioral treatments (CBT) are superior to other psychotherapies, in general or for specific disorders (e.g., social phobia).

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions.

We describe techniques for approximating seed bank dynamics over time using Helianthus annuus as an example study species. Strips of permeable polyester fabric and glue can be folded and glued to construct a strip of compartments that house seeds and identifying information, while allowing contact with soil leachate, water, microorganisms, and ambient temperature. Strips may be constructed with a wide range of compartment numbers and sizes and allow the researcher to house a variety of genotypes within a single species, different species, or seeds that have experienced different treatments.

A meta-analysis of multicultural competencies and psychotherapy process and outcome.

For decades, psychologists have emphasized the provision of multiculturally competent psychotherapy to reduce racial and ethnic disparities in mental health treatment. However, the relationship between multicultural competencies (MC) and other measures of clinical process and treatment outcome has shown heterogeneity in effect sizes. This meta-analysis tested the association of client ratings of therapist MC with measures of therapeutic processes and outcome, including: (a) working alliance, (b) client satisfaction, (c) general counseling competence, (d) session impact, and (e) symptom improvement.

Is Self-Reported Sleep Duration Associated with Osteoporosis? Data from a 4-Year Aggregated Analysis from the National Health and Nutrition Examination Survey.

Objectives: To examine the association between self-reported sleep duration and osteoporosis in a national sample of the U.S. elderly population.

The enduring effects of psychodynamic treatments vis-à-vis alternative treatments: A multilevel longitudinal meta-analysis.

Although evidence suggests that the benefits of psychodynamic treatments are sustained over time, presently it is unclear whether these sustained benefits are superior to non-psychodynamic treatments. Additionally, the extant literature comparing the sustained benefits of psychodynamic treatments compared to alternative treatments is limited with methodological shortcomings. The purpose of the current study was to conduct a rigorous test of the growth of the benefits of psychodynamic treatments relative to alternative treatments across distinct domains of change (i.

Seed fates in crop-wild hybrid sunflower: crop allele and maternal effects.

Domestication has resulted in selection upon seed traits found in wild populations, yet crop-wild hybrids retain some aspects of both parental phenotypes. Seed fates of germination, dormancy, and mortality can influence the success of crop allele introgression in crop-wild hybrid zones, especially if crop alleles or crop-imparted seed coverings result in out-of-season germination. We performed a seed burial experiment using crop, wild, and diverse hybrid sunflower (Helianthus annuus) cross types to test how a cross type's maternal parent and nuclear genetic composition might affect its fate under field conditions.

Fitness of crop-wild hybrid sunflower under competitive conditions: implications for crop-to-wild introgression.

Understanding the likelihood and extent of introgression of novel alleles in hybrid zones requires comparison of lifetime fitness of parents and hybrid progeny. However, fitness differences among cross types can vary depending on biotic conditions, thereby influencing introgression patterns. Based on past work, we predicted that increased competition would enhance introgression between cultivated and wild sunflower (Helianthus annuus) by reducing fitness advantages of wild plants.