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Clinician Perception of Treatment for Schizophrenia: Sensory-Based Therapy or Medication
Purpose
The purpose of this study is to evaluate clinicians\u27 perception of treatment and lived experience of occupational therapists treating clients diagnosed with Schizophrenia. The two identified treatment variables will be medication and sensory-based therapy and their relation to emotional regulation.
Methods
This study uses a mixed method, correlational design and data will be collected using an online Google Forms platform. Participants include licensed and registered occupational therapists who are currently treating individuals diagnosed with Schizophrenia. The survey was written to branch to relevant questions based on participants\u27 answers. This branching method allows us to collect perception of treatment and lived-experience from clinicians through open ended questions, contributing to the qualitative portion of our study. Multiple choice questions were used to contribute to the quantitative portion of this study.
Findings
Data collection is in progress and data will be included as part of the poster presentation Contribution to Discipline It is intended that upon completion of this study, results will aid occupational therapists in determining what combination of treatment is perceived most successful in emotional regulation in patients diagnosed with Schizophrenia. Professional Writing We anticipate submitting this research to a peer-reviewed journal
Whole Genome Amplification and Single Nucleotide Polymorphisms from Sweet Sorghum Microspores
Sweet sorghum (Sorghum bicolor L.) has been growing in Tennessee for over a century and recently been recognized as a potential biofuel crop per its production of syrup which is directly fermentable to ethanol. A total of five varieties (Achi Turi, Dale, Dasht Local, Topper 76-6, and RTx 430) were maintained and monitored in a greenhouse per their flowering characteristics. A combined total of 170 free early microspores were harvested and individually isolated in aqueous solution (6% D-sorbitol) for subsequent whole genome amplifications (WGA). WGA yields were quantified using a spectrophotometer which gave UV absorbance (A230/260) readings of 1.8 for single gametophyte DNAs with 2800 - 3000 (ng/µL) which were also confirmed by gel electrophoresis. Twenty single nucleotides polymorphic (SNP) sequences relevant to sorghum production traits, were selected, from a total of 1351 to provide high level of marker reproducibility along with good separation applicability for homo/heterozygote genotypes. High-quality DNAs were extracted from young leaves tips of 15 to 20 days old healthy parental plants and sent to LGC genomics (Teddington, Middlesex, U.K.) for purchasing SNP primers after validations. After conducting KASP assays on above sorghum plants and microspores; SNP density, markers’ segregation, and genetic variations were recorded. The KASP genotyping success rate was 80% for microspores’ DNAs, while it was 91% for the leaf of 78.5 to 88.4% DNA samples. These results also confirmed previously reported KASP assay genotyping success rate for diploid plants
White Pre-Service Teachers’ Racial Literacy Preparedness in an Educator Provider Program
The purpose of this qualitative case study was to explore the training of White pre-service teachers’ preparedness to be racially literate. A gap existed in the literature concerning the training of White pre-service teachers (PSTs) in their skill development to be racially literate. The two research questions were: #1) How do White pre-service teachers in a Historically Black College/University educator provider program conceptualize racial literacy? #2) What are pre-service teachers’ experiences learning about racial literacy in a Historically Black College/University educator provider program? The researcher used a qualitative method and an intrinsic case study design to explore how White PSTs are prepared for racial literacy in a southeastern Historically Black College/University. The researcher utilized a variety of tools such as the constant comparison method and keywords in context. The study took place via #1) an online Common Beliefs Survey and #2) Zoom one-on-one interview meetings with ten White PSTs. Critical Race Theory was the lens used to explore the PSTs’ preparedness to be racially literate. Inductive analysis was applied to the transcribed data from the Common Beliefs Survey and the interviews. Emergent themes included PSTs #1) a Lack of Experience With Racial Literacy, #2) Resistance to Racial Literacy, #3) a Lack of Strategic Approaches to Racial Literacy, #4) Trepidation in Response to Racial Literacy, and #5) Emergent Racial Literacy. The theoretical, practical, and future implications clarify how this study’s findings are imperative for matters of policy, practice, and theory
Influence of social status, physical activity, and socio-demographics on willingness to pay for a basket of organic foods
Consumers are known to signal social status through their purchasing behaviors. As the food industry continually expands its use of strategic marketing to reach customers, understanding food’s connection to this kind of status signaling may open the door to explore new markets for farmers. This study explored the influence of social status, physical activity, and socio-demographics on an individual’s willingness to pay for a basket of high-quality organic foods. Over 3 days, participants had their physical activity measured by a pedometer, and they were randomly assigned to a social status condition and subsequently placed bids for the organic food basket using a second-price auction to measure their willingness to pay. High-status individuals were publicly recognized in order to test our hypothesis that individuals will not be motivated to pay more for an organic food basket than low-status counterparts when they have already received recognition for their high status. The results showed that on average non-students were willing to pay significantly more for an organic food basket than student counterparts. Hispanic and Asian shoppers were willing to pay more for an organic food basket than White counterparts. However, physical activity had no significant impact on willingness to pay. Ultimately, our hypothesis was confirmed that recognizing high-status individuals eliminated or reduced the need to showcase social status through higher bids for the organic food baskets
Unmanned aerial vehicle based tree canopy characteristics measurement for precision spray applications
The critical components for applying the correct amount of agrochemicals are fruit tree characteristics such as canopy height, canopy volume, and canopy coverage. An unmanned aerial vehicle (UAV)-based tree canopy characteristics measurement system was developed using image processing approaches. The UAV captured images using a high-resolution red-green-blue (RGB) camera. A digital surface model (DSM) and a digital terrain model (DTM) were generated from the captured images. A tree canopy height map was generated from the subtraction of DSM and DTM. A total of 24 apple trees were randomly targeted to measure the canopy characteristics. Region of interest (ROI) was generated across the boundary of each targeted tree. The height of all pixels within each ROI was computed separately. The pixel with maximum height was considered as the height of the respective tree. For computing canopy volume, the sum of all pixel heights from individual ROI was multiplied by the square of ground sample distance (GSD) of 5.69 mm·pixel−1. A segmentation method was employed to calculate the canopy coverage of the individual trees. The segmented canopy pixel area was divided by the total pixel area within the ROI. The results showed an average relative error of 0.2 m(6.64%) while comparing automatically measured tree height with ground measurements. For tree canopy volume, a mean absolute error of 0.25 m3 and a root mean square error of 0.33 m3 were achieved. The study estimated the possible agrochemical requirement for spraying the fruit trees, ranging from 0.1 to 0.32 l based on tree canopy volumes. The overall investigations suggest that the UAV-based tree canopy characteristics measurements could be a potential tool to calculate the pesticide requirement for precision spraying applications in tree fruit orchards
Nitrate Electrochemical Sensor Comprising Silver Nanoparticles Carbon Nanotubes Composite
The cost-effectiveness, functionality, and ease of use of the nanomaterial-enabled electrochemical sensors make them ideal for routine, on-site detection of the nitrate ions (NO3-) in a variety of environmental samples. The excellent developments and adaptable characteristics of the nanomaterials have significantly increased the analytical functioning of the electrochemical nitrate (NO3-) sensors. Nitrate detection would go a long way toward aiding in the management and control of such ions and their devastating effects on air pollution. Additionally, the detection of nitrate ions (NO3-) in an aqueous solution is significantly complicated by the variable quantity and signal overlap with other ions. The objective of this research was to detect nitrate ions using glassy carbon electrodes modified with silver nanoparticles carbon nanotubes composite and outer layer: chitosan. Glassy carbon electrodes/carbon nanotubes/Silver nanoparticles/chitosan electrodes (GCE/MWCNT/AgNPs/CS) were constructed and used to detect nitrate ions. GCE/MWCNT/AgNPs/CS sensor has demonstrated a lower detection limit and higher sensitivity (~30 mA/Μ) fhe nitrate detection (NO3-) when compared with the glassy carbon electrodes alone. Under optimal experimental conditions, the fabricated sensor (GCE/MWCNT/AgNPs/CS) exhibited a LOD of ~8 μM with a correlation coefficient of 0.99 and a greater linear range of 0 – 900 μM