930 research outputs found
Student Perspectives and Standardized Patient Feedback on an Innovative Simulated Patient Encounter
This retrospective survey analysis sought to explore student perspectives and application of therapeutic use of self during a simulated standardized patient encounter (SSPE) with standardized patient actors portraying serious mental illness (SMI). Researchers collected retrospective data from post SSPE student surveys dating between 2009 and 2019 and standardized patient actor surveys dating between 2017 and 2019. Students’ level of expertise with therapeutic use of self and self-perceptions of the SSPE were analyzed for response categories. Descriptive analysis was conducted on all items. Student survey responses were organized into response categories. Standardized patient actor surveys were analyzed for frequencies of yes/no responses. Post-SSPE student surveys showed that many students found the SSPE to be a great learning experience, allowed them to practice therapeutic use of self, and felt that it reflected a realistic experience working with someone with SMI. Surveys of the standardized patient actors revealed that they observed student use of therapeutic use of self in the vast majority of their interactions. These results lead the researchers to conclude SSPEs are an effective way of teaching necessary occupational therapy skill sets and familiarizing students to populations experiencing SMI prior to Level II fieldwork and clinical practice
Occupational Therapy: Breaking the Barriers with Survivors of Human Trafficking
PICO Question
What occupational therapy interventions enhance the occupational engagement for survivors of human trafficking?
Objectives Recognize the occupational injustices experienced by survivors of human trafficking and the effect on occupational participation Describe the role of the occupational therapy practitioner in enhancing occupational participation of survivors of human trafficking Discuss evidence-based interventions within the scope of occupational therapy practice for survivors of human traffickin
Edaphic controls of soil organic carbon in tropical agricultural landscapes
Predicting soil organic carbon (SOC) is problematic in tropical soils because mechanisms of SOC (de)stabilization are not resolved. We aimed to identify such storage mechanisms in a tropical soil landscape constrained by 100 years of similar soil inputs and agricultural disturbance under the production of sugarcane, a C-4 grass and bioenergy feedstock. We measured soil physicochemical parameters, SOC concentration, and SOC dynamics by soil horizon to one meter to identify soil parameters that can predict SOC outcomes. Applying correlative analyses, linear mixed model (LMM) regression, model selection by AICc, and hierarchical clustering we found that slow moving SOC was related to many soil parameters, while the fastest moving SOC was only related to soil surface charge. Our models explained 78-79%, 51-57%, 7-8% of variance in SOC concentration, slow pool decay, and fast pool decay, respectively. Top SOC predictors were roots, the ratio of organo-complexed iron (Fe) to aluminum (Al), water stable aggregates (WSagg), and cation exchange capacity (CEC). Using hierarchical clustering we also assessed SOC predictors across gradients of depth and rainfall with strong reductions in Roots, SOC, and slow pool decay associated with increasing depth, while increased rainfall was associated with increased Clay and WSagg and reduced CEC in surface soils. Increased negative surface charge, water stable aggregation, organo-Fe complexation, and root inputs were key SOC protection mechanisms despite high soil disturbance. Further development of these relationships is expected to improve understanding of SOC storage mechanisms and outcomes in similar tropical agricultural soils globally
Maximizing Soil Carbon Sequestration: Assessing Procedural Barriers to Carbon Management in Cultivated Tropical Perennial Grass Systems
The natural capacity of the terrestrial landscape to capture and store carbon from the atmosphere can be used in cultivated systems to maximize the climate change mitigation potential of agricultural regions. A combination of inherent soil carbon storage potential, conservation management, and rhizosphere inputs should be considered when making landscape‐level decisions about agriculture if climate change mitigation is an important goal. However, the ability to accurately predict soil organic carbon accumulation following management change in the tropics is currently limited by the commonly available tools developed in more temperate systems, a gap that must be addressed locally in order to facilitate these types of landscape‐level decisions. Here, we use a case study in Hawaii to demonstrate multiple approaches to measuring and simulating soil carbon changes after the implementation of zero‐tillage cultivation of perennial grasses following more than a century of intensive sugarcane cultivation. We identify advancements needed to overcome the barriers to potential monitoring and projection protocols for soil carbon storage at our site and other similar sites
Texting during lecture...maybe or maybe not?
Media distractions constantly break our attention. In previous research, students attempted to multitask during a five min PowerPoint presentation. The results revealed that participants who did not multitask completed the tasks better than those who did multitask. From these findings, further research designed to study the effects of multitasking on learning is warranted. Therefore, the proposed study consisted of examining the effects of multitasking on memory among college students while simulating texting during a video lecture. The results of the study will provide insight into college students’ ability to divide their attention between content on their devices and class lectures
Sexual Double Standard: A Psychometric Study From a Macropsychological Perspective Among the Spanish Heterosexual Population
We would like to thank all participants who took
part in the study.The datasets for this study can be found in the
https://figshare.com/articles/Data_set_of_the_paper_A_proposal
_of_a_societal_sexual_double_standard_measure_/7523138.The Supplementary Material for this article can be found
online at: https://www.frontiersin.org/articles/10.3389/fpsyg.
2019.01869/full#supplementary-materialIn the context of heterosexual relationships, the sexual double standard (SDS) leads to a more negative assessment of women than men when they exhibit the same sexual behavior. This work assumes that in Western democratic societies, the individual attitude toward SDS takes different forms due to the processes of conviction regarding the social norm that exists on this matter. Therefore, the individual attitude toward SDS will depend on the person’s perception of what others think about that topic. We distinguish between self-referred response, it refers to subjects’ personal endorsement of the SDS, and responses hetero-referred, subjects’ perception of sexual societal double standard. This paper presents a version of the Double Standard Scale (SDSS) that assesses the subjective perception of society’s support for the SDS. We examine its psychometric properties in a sample of Spanish population heterosexual of 1,206 individuals (50% males), distributed across three groups (18–34, 35–49, and 50 years old or older). We performed Exploratory and Confirmatory Factor Analysis. The final version consists of 18 item distributed into three factors (Acceptance for Male Sexual Shyness, Acceptance for Female Sexual Freedom and Acceptance for Traditional Double Standard). Said three-factor structure does not match with the two-factor structure of the self-referred form. Internal consistency, temporal stability and validity evidence are reported. This version of the SDSS is reliable and valid. No gender differences are found in the SDSS-H. However, the results show that the context of group membership, based on education and age, is differently associated with the response to SDSS-H. That is, higher scores are found for individuals with the highest education and for the youngest participants. We discuss the usefulness of this measure to improve the prediction of individual attitude toward SDS, as well as, to evaluate the SDS phenomenon at a level of macropsychological analysis.This study was funded through a research project granted by
the Spanish Ministry of Economy and Competitiveness (Grant
Number PSI2014-58035-R)
What is Special K\"ahler Geometry ?
The scalars in vector multiplets of N=2 supersymmetric theories in 4
dimensions exhibit `special Kaehler geometry', related to duality symmetries,
due to their coupling to the vectors. In the literature there is some confusion
on the definition of special geometry. We show equivalences of some definitions
and give examples which show that earlier definitions are not equivalent, and
are not sufficient to restrict the Kaehler metric to one that occurs in N=2
supersymmetry. We treat the rigid as well as the local supersymmetry case. The
connection is made to moduli spaces of Riemann surfaces and Calabi-Yau 3-folds.
The conditions for the existence of a prepotential translate to a condition on
the choice of canonical basis of cycles.Comment: 46 pages, latex, no figures; 2 minor correction
Payments for ecosystem services and the fatal attraction of win-win solutions
Contains fulltext :
112995.pdf (publisher's version ) (Open Access)6 p
TRY plant trait database - enhanced coverage and open access
Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives
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