The Content of Usual Clinical Care for Youth with Primary Anxiety Problems.

The current study was designed to describe usual clinical care for youth with primary anxiety problems in community mental health centers. The observer-rated Therapy Process Observational Coding System for Child Psychotherapy - Revised Strategies scale (TPOCS-RS), designed to assess therapeutic techniques from five theory-based domains, was used to code sessions (N = 403) from the usual clinical care group of two randomized effectiveness trials: (a) Youth Anxiety Study (YAS) with 21 youth (M age = 10.44 years, SD = 1.91; 49.2% Latinx; 46.6%, 53.4% male) and 16 clinicians (77.5% female; 43.8% White), and (b) Child STEPS Multisite Trial with 17 youth (M age = 10.00 years, SD = 1.87; 58.8% male; 41.2% White) and 13 clinicians (M age = 40.00 years; SD = 9.18; 76.9% female; 61.5% White). The average number of TPOCS-RS items observed per treatment session was more than 10, and multiple techniques were used together in each session. All TPOCS-RS items were observed at least once throughout a clinical case, and most items reoccurred (i.e., observed in two or more sessions). The dosage of TPOCS-RS in all items was below 5 on a 7-point scale. In conclusion, clinicians in both usual care samples used a wide range of techniques from several theory-based domains at a low to medium dose. However, the type and dosage of the techniques used did vary across the two samples.

Exploring control-value motivational profiles of mathematics anxiety, self-concept, and interest in adolescents.

In this study, we identified multidimensional profiles in students' math anxiety, math self-concept, and math interest using data from a large generalizable sample of 16,547 9th grade students in the United States who participated in the National Study of Learning Mindsets. We also analyzed the extent that students' profile memberships are associated with related measures such as prior mathematics achievement, academic stress, and challenge-seeking behavior. Five multidimensional profiles were identified: two profiles which demonstrated relatively high levels of interest and self-concept, along with low math anxiety, in line with the tenets of the control-value theory of academic emotions (C-VTAE); two profiles which demonstrated relatively low levels of interest and self-concept, and high levels of math anxiety (again in accordance with C-VTAE); and one profile, comprising more than 37% of the total sample, which demonstrated medium levels of interest, high levels of self-concept, and medium levels of anxiety. All five profiles varied significantly from one another in their association with the distal variables of challenge seeking behavior, prior mathematics achievement, and academic stress. This study contributes to the literature on math anxiety, self-concept, and interest by identifying and validating student profiles that mainly align with the control-value theory of academic emotions in a large, generalizable sample.

Using social network analysis in applied psychological research: A tutorial.

Social network analysis (SNA) is a highly flexible research method that allows for novel exploration of a wide variety of research phenomena. Evidence from fields as disparate as public health, education, informatics, sociology, and medicine has demonstrated the importance of recognizing the complexity inherent in individuals' connections with others. In this article, we provide a brief conceptual overview of social network theory and methodology, and then demonstrate how to apply SNA to an applied psychological research context studying students embedded in classrooms. We also provide numerous supporting materials on our OSF page, including R code for all analyses, a dataset containing social network data, and a glossary of key terms in social network analysis. We conclude with a set of recommendations for researchers interested in applying SNA to their own contexts and content areas. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Using Machine Learning to Predict Patterns of Employment and Day Program Participation.

In this article, we demonstrate the potential of machine learning approaches as inductive analytic tools for expanding our current evidence base for policy making and practice that affects people with intellectual and developmental disabilities (IDD). Using data from the National Core Indicators In-Person Survey (NCI-IPS), a nationally validated annual survey of more than 20,000 nationally representative people with IDD, we fit a series of classification tree and random forest models to predict individuals' employment status and day activity participation as a function of their responses to all other items on the 2017-2018 NCI-IPS. The most accurate model, a random forest classifier, predicted employment outcomes of adults with IDD with an accuracy of 89 percent on the testing sample, and 80 percent on the holdout sample. The most important variable in this prediction was whether or not community employment was a goal in this person's service plan. These results suggest the potential machine learning tools to examine other valued outcomes used in evidence-based policy making to support people with IDD.

Changes in temperature, pH, and salinity affect the sheltering responses of Caribbean spiny lobsters to chemosensory cues.

Florida Bay is home to a network of shallow mud-banks which act as barriers to circulation creating small basins that are often subject to extremes in temperature and salinity. Florida bay is also important juvenile habitat for the Caribbean spiny lobster Panulirus argus. While our understanding of the effect of environmental changes on the survival, growth, and movement of spiny lobsters is growing, the effect on their chemosensory abilities has not yet been investigated. Lobsters rely heavily on chemical cues for many biological and ecological activities, and here we report on the effect of extreme environmental events in temperature (32 °C), salinity (45ppt), and pH (7.65 pH) on social behavior and sheltering preference in P. argus. Under normal conditions, chemical cues from conspecifics are used by spiny lobsters to identify suitable shelter and cues from stone crabs and diseased individuals are used to determine shelters to be avoided. In all altered conditions, lobsters lost the ability to aggregate with conspecifics and avoid stone crabs and diseased conspecifics. Thus, seasonal extreme events, and potentially future climate change conditions, alter the chemosensory-driven behavior of P. argus and may result in decreased survivorship due to impaired shelter selection or other behaviors.

A histological atlas for the Palinuridae (Crustacea: Decapoda: Achelata): A guide to parasite discovery and spotting the abnormal in spiny lobsters.

Crustaceans suffer from diseases that can alter their survival and ecology with additional economic consequences for fisheries and aquaculture. Many parasites have been described from crustaceans and with the advent of novel technologies such as next generation sequencing, the discovery of novel parasites has become increasingly efficient. Molecular techniques are beginning to surpass more conventional tools for parasite discovery, but they typically do not provide information on pathology. Histopathology remains one of the least expensive methods for parasite discovery and allows for both detection of parasites and descriptions of the pathology they cause. When used in concert with modern molecular and electron microscopy techniques, the approach is powerful; however, there are few informational tools for the interpretation of histological slides from crustaceans. Those available do not provide comprehensive images of all organs and early works were limited to lower resolution than currently available. More recent texts provide in-depth details of infection in histological section, but few provide images of healthy material or describe a baseline from which to compare. Here, we provide a series of image plates derived from histologically processed tissues from three palinurid lobsters: Panulirus argus, Palinurus elephas and Panulirus guttatus. Histology from these lobsters shows high visual similarity in all tissue types. We provide a histological atlas of healthy tissue that can be used as a baseline resource for pathobiologists working on these common species (and related crustaceans) and we discuss how disease may result in visual aberrations to these tissues.

White spot syndrome virus and the Caribbean spiny lobster, Panulirus argus: Susceptibility and behavioral immunity.

The Caribbean spiny lobster Panulirus argus is susceptible to infection by Panulirus argus Virus 1 (PaV1), the only virus known to naturally infect any lobster species. However, P. argus is able to mitigate PaV1 transmission risk by avoiding infected individuals. P. argus may also be susceptible to another lethal virus, White Spot Syndrome Virus (WSSV). WSSV has not been documented in wild populations of spiny lobsters, but has been experimentally transmitted to six other lobster species from the genus Panulirus. Although WSSV has been detected intermittently in wild populations of shrimp in the Caribbean region, the risk to P. argus has not been evaluated. Potential emergence of the disease could result in fisheries losses and ecological disruption. To assess the risk to P. argus, we tested its susceptibility to WSSV via injection and waterborne transmission. We also tested whether healthy lobsters can detect and avoid conspecifics with qPCR-quantifiable WSSV infections. We found P. argus to be highly susceptible to WSSV via intramuscular injection, with mortality reaching 88% four weeks post inoculation. Panulirus argus was also susceptible to WSSV via waterborne transmission, but WSSV burden was low after four weeks via qPCR. Behavioral assays indicated that P. argus can detect and avoid conspecifics infected with WSSV and the avoidance response was strongest for the most heavily infected individuals - a response comparable to PaV1-infected conspecifics. Panulirus argus is the first spiny lobster found to be susceptible to WSSV in the Americas, but it is possible that a generalized avoidance response by healthy lobsters against infected conspecifics provides a behavioral defense and may reduce WSSV infection potential and prevalence. Preliminary evidence suggests that the infiltration of hemolymph constituents into the urine may be the source of the avoidance behavior and could therefore extend to other directly transmitted pathogens in spiny lobster populations preventing them from becoming common in their population.

A persistent lack of international representation on editorial boards in environmental biology.

The scholars comprising journal editorial boards play a critical role in defining the trajectory of knowledge in their field. Nevertheless, studies of editorial board composition remain rare, especially those focusing on journals publishing research in the increasingly globalized fields of science, technology, engineering, and math (STEM). Using metrics for quantifying the diversity of ecological communities, we quantified international representation on the 1985-2014 editorial boards of 24 environmental biology journals. Over the course of 3 decades, there were 3,827 unique scientists based in 70 countries who served as editors. The size of the editorial community increased over time-the number of editors serving in 2014 was 4-fold greater than in 1985-as did the number of countries in which editors were based. Nevertheless, editors based outside the "Global North" (the group of economically developed countries with high per capita gross domestic product [GDP] that collectively concentrate most global wealth) were extremely rare. Furthermore, 67.18% of all editors were based in either the United States or the United Kingdom. Consequently, geographic diversity-already low in 1985-remained unchanged through 2014. We argue that this limited geographic diversity can detrimentally affect the creativity of scholarship published in journals, the progress and direction of research, the composition of the STEM workforce, and the development of science in Latin America, Africa, the Middle East, and much of Asia (i.e., the "Global South").

Docosahexaenoic acid and eicosapentaenoic acid affect ovarian prostaglandin levels differently in rats.

Prostaglandins (PGs) play a key role in the regulation of ovulation. Typically, ingestion of the long-chain n-3 polyunsaturated fatty acids (PUFAs), eicosapentaenoic acid (EPA), and docosahexaenoic acid (DHA) has been found to decrease, whereas arachidonic acid (ARA) increases PG biosynthesis in most systems. We hypothesized that DHA and EPA would decrease ovarian PGE(2), enhancing ovulation, with combined EPA and DHA having the greatest effect, whereas ARA would increase PGE(2), suppressing ovulation. Our objective was to determine how 0.3-g/100-g diet DHA and EPA alone or combined, or ARA would affect tissue composition, ovulation, and PG synthesis in rats. After 27 days on diet and ovulation induction, ovaries were isolated and analyzed from 22 pups per diet. Eicosapentaenoic acid alone reduced ovarian n-6 PUFA attributable to reduced ARA incorporation. Arachidonic acid ingestion reduced and EPA enhanced ovarian n-3 PUFA to levels above what was seen with DHA or DHA/EPA combinations. Docosahexaenoic acid alone increased total PGE 1.5-fold over control, whereas neither differed from the remaining treatments. Increased total PGE with DHA was attributable to elevated PGE(3) with PGE(2) unchanged by diet, and PGE(3) only increased with DHA ingestion alone. Total PGF differed from control with the highest DHA intake, alone or combined with EPA, or with ARA ingestion (P < .05). Increased PGF with DHA was attributable to increased PGF(3alpha). Experimental diets did not alter ovulation from control. Results indicate that DHA and EPA consumption at human achievable doses differently alters ovarian phospholipids and PGs associated with ovulation with potential for significant 3-series PG without significantly perturbing ovulation.