Program evaluation of a new interprofessional geriatrics curriculum for advanced practice nursing and master of social work learners

The Indiana Geriatrics Workforce Enhancement Program (GWEP) implemented a new longitudinal geriatrics curriculum for advanced practice registered nurse (APRN) and master of social work (MSW) learners to prepare them for interprofessional collaborative practice in the care of older adults. This paper reports program outcomes of a novel longitudinal interprofessional geriatrics curriculum involving immersive learning for these learners. Outcomes are described in terms of learner reaction, modification of attitudes/perceptions, acquisition of knowledge/skills, behavior change, impact on the organization, and impact on the patient or client using the Freeth/Kirkpatrick evaluation model. Program participation influenced graduates’ knowledge of and their perceived ability to participate in team care and job selection in geriatric-focused positions.</p

Analysis of the Aftereffects of Terror Attacks on Social Media

abstract: Social media has become a direct and effective means of transmitting personal opinions into the cyberspace. The use of certain key-words and their connotations in tweets portray a meaning that goes beyond the screen and affects behavior. During terror attacks or worldwide crises, people turn to social media as a means of managing their anxiety, a mechanism of Terror Management Theory (TMT). These opinions have distinct impacts on the emotions that people express both online and offline through both positive and negative sentiments. This paper focuses on using sentiment analysis on twitter hash-tags during five major terrorist attacks that created a significant response on social media, which collectively show the effects that 140-character tweets have on perceptions in social media. The purpose of analyzing the sentiments of tweets after terror attacks allows for the visualization of the effect of key-words and the possibility of manipulation by the use of emotional contagion. Through sentiment analysis, positive, negative and neutral emotions were portrayed in the tweets. The keywords detected also portray characteristics about terror attacks which would allow for future analysis and predictions in regards to propagating a specific emotion on social media during future crisis

MOESM1 of A high-density SNP panel reveals extensive diversity, frequent recombination and multiple recombination hotspots within the chicken major histocompatibility complex B region between BG2 and CD1A1

Additional file 1: Table S1. SNPs used for the MHC panel. Genes and bp locations are provided based on the sequence [GenBank: AB268588] as well as the primer sequences that were used to develop the KASP-based detection assay

MOESM1 of Effects of number of training generations on genomic prediction for various traits in a layer chicken population

Additional file 1: Table S1. Examples of experimental design for training (T) and validation (V) sets. Table S2. Description of the average number of individuals with own phenotypes and genotypes in each generation for early and late traits. Table S3. Mean accuracies (¹ SD) of genomic predictions over 5 replicates for different training sets and for the studied traits. In this analysis, G10 was used as the validation generation and training individuals were randomly sampled from G4 to G9. (1) eCO (early egg color); (2) eC3 (early color of first 3 eggs; (3) eE3 (early weight of first 3 eggs); (4) eSM (early age at sexual maturity); (5) eAH (early albumen height); (6) eYW (early yolk weight); (7) ePD (early egg production rate); (8) ePS (early egg puncture score); (9) lCO (late egge color); (10) lEW (late average weight of 3-5 eggs); (11) lBW (late body weight); (12) lAH (late albumen height); (13) lYW (late yolk weight); (14) lPD (late egg production rate); (15) lPS (late egg puncture score)