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Emotion regulation is a key developmental skillset, but many existing measures rely on self-report or laboratory-based measurement approaches. This study aimed to develop a training and implementation protocol for the widely used Facial Expression Coding System (FACES) to be used in real-world settings with pre-recorded video data. A revised coding system with supplemental guidelines and training procedures was developed to use FACES with video data recorded in special education classrooms. This system resulted in adequate interrater reliability as well as reduced training time for coders. Specific training methods included close study of code definitions, coding of practice video, quantitative analysis of observation data to generate interrater agreement and kappa statistics, review of comparison charts to identify discrepancies between coder and training observations using the Noldus Observer XT software, and post-observation discussions. The revised FACES protocol and new training method presented here offer a more robust, efficient, and versatile tool that can be applied to systematic behavior observations conducted of students in real-world classroom settings.

The Walter Reed Army Institute of Research holds an annual summer STEM program called Gains in the Education of Mathematics and Science (GEMS) in which rising 7th-12th graders are mentored by undergraduate STEM majors (near-peer mentors - NPMs) who facilitate hands-on, inquiry-centered activities. To make GEMS accessible to underserved and underrepresented populations, we recruit both students and NPMs from local, underserved communities and minority-serving institutions, while additionally broadcasting the opportunities to surrounding counties. We mitigate financial barriers to participation by offering both student and NPM stipends. Although GEMS is traditionally held in person, the COVID-19 pandemic led to the creation of virtual GEMS (eGEMS). We compared NPM and student survey responses for eGEMS to the prior year of in-person GEMS. Despite logistical differences, we maintained similar participant demographics, program elements, and shifts in attitudes towards STEM for all student groups while providing comparable personal and professional growth for NPMs. Going forward, though, eGEMS can be improved by incorporating more group work and use of laboratory tools alongside alleviating technical barriers. Furthermore, both eGEMS and in-person GEMS must increase recruitment amongst FARMS (free and reduced-price meals at school) recipients, English language learners, and potential first-generation college students to align with accessibility goals.

Educational inequity is widely prevalent in United States (U.S.) public schools and creates barriers to STEM education for underserved and underrepresented populations, including racial minority, low-income, and first-generation college students. Scientists at the Walter Reed Army Institute of Research (WRAIR) recognized a need in its community, the greater Washington, DC metropolitan area, to improve access to high-quality STEM education, and founded the WRAIR Gains in the Education of Mathematics and Science (GEMS) program for this purpose. In pursuit of this goal, the GEMS program engages students using innovative learning strategies and authentic STEM experiences with the hopes of fostering interest in STEM and motivating more underserved and underrepresented students to persist in STEM education and career pathways. By 1995, WRAIR scientists began investigating how to bring science-enthusiastic but novice high school (HS) students into their laboratories where they could be mentored, along with providing a stipend to mitigate financial barriers; importantly, this process was funded by two Science Education Partnership Awards from 2001-2006. Each year, WRAIR's GEMS program now guides about 600-700 local middle and HS students to take part in hands-on, inquiry-based STEM laboratory investigations led by undergraduate "near peer mentors" (NPMs), so named due to their close age to participants. GEMS is now sustained at 14 sites nationwide through the U.S. Army Educational Outreach Program, and serve about 4,000 students and near-peer mentors annually. Recent evaluations of the program explore service to underrepresented groups in STEM and growth of the local program. Further evaluation of the nationwide programs reveals positive student feedback, especially regarding working with NPMs and hands-on learning.

COVID-19 is a severe infectious disease that has claimed >150,000 lives and infected millions in the United States thus far, especially the elderly population. Emerging evidence has shown the virus to cause hemorrhagic and immunologic responses, which impact all organs, including lungs, kidneys, and the brain, as well as extremities. SARS-CoV-2 also affects patients', families', and society's mental health at large. There is growing evidence of re-infection in some patients. The goal of this paper is to provide a comprehensive review of SARS-CoV-2-induced disease, its mechanism of infection, diagnostics, therapeutics, and treatment strategies, while also focusing on less attended aspects by previous studies, including nutritional support, psychological, and rehabilitation of the pandemic and its management. We performed a systematic review of >1,000 articles and included 425 references from online databases, including, PubMed, Google Scholar, and California Baptist University's library. COVID-19 patients go through acute respiratory distress syndrome, cytokine storm, acute hypercoagulable state, and autonomic dysfunction, which must be managed by a multidisciplinary team including nursing, nutrition, and rehabilitation. The elderly population and those who are suffering from Alzheimer's disease and dementia related illnesses seem to be at the higher risk. There are 28 vaccines under development, and new treatment strategies/protocols are being investigated. The future management for COVID-19 should include B-cell and T-cell immunotherapy in combination with emerging prophylaxis. The mental health and illness aspect of COVID-19 are among the most important side effects of this pandemic which requires a national plan for prevention, diagnosis and treatment.

This study assessed the validity of a set of social and emotional functioning constructs derived from the PYD short form (PYD‐SF) measure within a sample of children and adolescents with one or more mental health diagnoses related to social, emotional, or behavioral challenges. Using repeated measures design, responses to the PYD‐SF and the Social‐emotional assets and resilience scale were collected over two years from 369 students enrolled in special education. Multilevel factor analyses parsed within‐person variability from between‐person differences to understand the internal consistency of the target measures when used with clinical and special education populations. Associations between the social‐emotional constructs from the PYD‐SF and an assessment of social‐emotional assets and resilience were examined. A two‐level confirmatory factor analysis using seven PYD factors and the Social‐Emotional Assets and Resilience Scale indicated a very good model fit; all factor loadings were statistically significant at both levels. Results supported the validity and internal reliability of the social‐emotional constructs from the PYD‐SF measure for assessing the social and emotional competencies of youth with social, emotional, and/or behavioral challenges, but with the caveat that researchers should consider a higher degree of specificity when using it with youth from this population. The broad factors utilized in previous work should be reframed to emphasize separate types of connection. When keeping this revised framing in mind, the social‐emotional constructs of the PYD‐SF measure provide a tool for teachers, parents, and clinicians to use in treatment planning and identifying strategies to support positive development for diverse youth. [ABSTRACT FROM AUTHOR]

Characterizing relative temporal and spatial variations in both the living and detrital components of bivalve food is required to predict bivalve growth across environments with contrasting seston compositions. The present article describes how remote sensing can be applied for such characterization, both over large spatial scales and fine spatial resolutions (i.e., farm scale; 10's of meters), thereby providing key information for bivalve aquaculture operations and site selection, including the restoration of native species. Using natural seawater samples collected from contrasting culture sites in North America and Europe, a simple model was developed to predict the total particulate organic matter (POM) available as food to bivalves from high-resolution remote-sensing images of coastal embayments which estimate chlorophyll (CHL) and turbidity, in which CHL acts as a proxy for living organics and turbidity as a measure of total suspended particulate matter (SPM). The resulting POM derived from satellite images, along with temperature and CHL, are then used as inputs to the bivalve bioenergetic model, ShellSIM, to predict the growth of Mytilus edulis, Crassostrea virginica, and Ostrea edulis along the coast of Maine, one of the most convoluted coasts in the United States, for aquaculture site selection. KEY WORDS: remote sensing, bivalve food, aquaculture site selection, particulate organic matter, turbidity, INTRODUCTION Modeling bivalve filter feeder growth in response to environmental variables in the coastal zone has applications to coastal zone management, and may include determination of estuary-wide carrying capacity, site [...]

HIV-1 provirus integration results in a persistent latently infected reservoir that is recalcitrant to combined antiretroviral therapy (cART) with lifelong treatment being the only option. The "shock and kill" strategy aims to eradicate latent HIV by reactivating proviral gene expression in the context of cART treatment. Gene-specific transcriptional activation can be achieved using the RNA-guided CRISPR-Cas9 system comprising single guide RNAs (sgRNAs) with a nuclease-deficient Cas9 mutant (dCas9) fused to the VP64 transactivation domain (dCas9-VP64). We engineered this system to target 23 sites within the long terminal repeat promoter of HIV-1 and identified a "hotspot" for activation within the viral enhancer sequence. Activating sgRNAs transcriptionally modulated the latent proviral genome across multiple different in vitro latency cell models including T cells comprising a clonally integrated mCherry-IRES-Tat (LChIT) latency system. We detected consistent and effective activation of latent virus mediated by activator sgRNAs, whereas latency reversal agents produced variable activation responses. Transcriptomic analysis revealed dCas9-VP64/sgRNAs to be highly specific, while the well-characterized chemical activator TNFα induced widespread gene dysregulation. CRISPR-mediated gene activation represents a novel system which provides enhanced efficiency and specificity in a targeted latency reactivation strategy and represents a promising approach to a "functional cure" of HIV/AIDS.