THE INFLUENCE OF CULTURE AND SELF-PERCEPTION ON THE MENTAL HEALTH CARE-SEEKING INTENTIONS OF COLLEGE STUDENTS

Mental health issues are common among young adults, especially those attending colleges and universities. There has been a growing concern related to the number of unmet mental health concerns for students and the potential ramifications associated with this unmet need. Studies show that approximately 17% of college students experience a mental health concern, yet only 20% of those with a concern obtain mental health care services. One’s upbringing and background are known to influence decision making and are thus likely to play a role in decisions to seek mental healthcare; however, these norms can vary across cultures. In addition, depending on how one perceives the state of their own mental health, their intentions towards service utilization may be altered. The influence of culture and self-perception on intentions to seek mental health services were examined within this study. Results showed that students were more likely to recommend formal, professional, mental health treatments for their friend rather than themselves, even if symptoms were identical, X2 (1, N = 861) = 96.67, p < 0.001. However, the study did not indicate any significant relationship between background and likelihood to recommend formal treatment options, X2 (1, N = 422) = .549, p = .459, nor attitudes towards seeking professional psychological care, t(832) = -0.592, p = 0.554, d = 0.091. Identification of specific barriers preventing individuals from obtaining formal treatment warrants future research and will aid in development of future direction in how to provide care-services to diverse university populations

Advance Preparation in Task-Switching: Converging Evidence from Behavioral, Brain Activation, and Model-Based Approaches

Recent research has taken advantage of the temporal and spatial resolution of event-related brain potentials (ERPs) and functional magnetic resonance imaging (fMRI) to identify the time course and neural circuitry of preparatory processes required to switch between different tasks. Here we overview some key findings contributing to understanding strategic processes in advance preparation. Findings from these methodologies are compatible with advance preparation conceptualized as a set of processes activated for both switch and repeat trials, but with substantial variability as a function of individual differences and task requirements. We then highlight new approaches that attempt to capitalize on this variability to link behavior and brain activation patterns. One approach examines correlations among behavioral, ERP and fMRI measures. A second “model-based” approach accounts for differences in preparatory processes by estimating quantitative model parameters that reflect latent psychological processes. We argue that integration of behavioral and neuroscientific methodologies is key to understanding the complex nature of advance preparation in task-switching

Analyzing Psychology Students\u27 Understanding of Their Worth in The Modern Workplace

An average degree in psychology incorporates understanding of social constructs, behaviorism, individual motivations, empirical research designs, levels of statistical analysis, and a deeper understanding of problem-solving. Yet, even with the various skills psychology students gain in their training, they are chronically unemployed in the workforce. One possible reason psychology graduates are continually underemployed is that they do not understand how their learned skill sets translate into the workplace. The proposed study aims to address this gap by developing a survey to assess psychology students’ understanding of the knowledge and critical skill sets they gain in their degree program and their understanding of the practical, transferable implementations of these sought-after workplace skills. The outcomes of the proposed study will deepen the understanding of what undergraduate psychology students know and understand about the application of what they have learned through their education. This knowledge can then be used to design interventions or trainings that will assist students in articulating what they have learned in their training to the job market and future careers

Sonographic evaluation of the median nerve at the wrist.

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135356/1/jum20012091011.pd

ANTIPROLIFERATIVE AND ANTIOXIDANT ACTIVITY OF LEAVES EXTRACTS OF MORINGA OLEIFERA

Objective: The aim of the study was to investigate the ethanolic and aqueous extract of leaves of Moringa oleifera for phytochemical constituents, antiproliferative and antioxidant activity.Methods: The ethanolic extract of leaves of Moringa oleifera, belonging to the family Moringaceae was prepared by using soxhlet apparatus and aqueous extract was prepared by using maceration process. The extract was evaluated for its phytochemical constituents. The antiproliferative effects of both extracts were checked by using MTT ([3-(4,5-Dimethylthiazol-2-yl)-2,5-Diphenyltetrazolium Bromide]) assay on HT-29 colon cell line and the antioxidant activity were checked by using DPPH (2,2-diphenyl-1-picrylhydrazyl) assay. In antiproliferative and antioxidant activity the 5-FU (5-fluro uracil) and Ascorbic acid used as a standard drug for present results conclusion respectively.Results: The results obtained in MTT assay shown that ethanolic extract of Moringa oleifera had a more potent antiproliferative effect (growth inhibition of 62.25% at 100 μg/ml) on HT-29 colon cell line as compared to aqueous extract (% growth inhibition of 27.86 at 100 μg/ml) of Moringa oleifera. The ethanolic extract of Moringa oleifera shown more potent antioxidant activity (% inhibition of ethanolic 75.57 at 100 μg/ml) than aqueous extract (38.16 at 100 μg/ml) of Moringa oleifera. The activity shown by the extract is concentration dependent.Conclusion: In the present study we have investigated that the effect of ethanolic and aqueous leaves extracts of Moringa oleifera possess antiproliferative and antioxidant properties

Mathematically Forecasting Stock Prices with Geometric Brownian Motion

Predicting the progression of an unsteady stock market appears to be an impossible task due to the volatile nature of investment portfolios. However, principles such as Geometric Brownian Motion account for random occurrences in a way that can be translated to modeling the stock market. This paper analyzes the Reddy-Clinton equation, a difference equation derived by Krishna Reddy and Vaughan Clinton, with the primary intention of modeling stock price movement over time by utilizing existing metrics. The Reddy-Clinton equation incorporates both a certain and uncertain component to generate a figure which effectively depicts the volatility of the stock market. However, this paper aims to clarify the extent of the unpredictability being accounted for by specifically adjusting ε, the variable representing stochasticity, through an adjusted bell-curve model. Additionally, the model is calculated over multiple iterations, with the resulting values collectively averaged to increase accuracy. The adapted model was applied to the following five stocks of varying sectors: AAPL, OXY, PYPL, MCD, and SPG, and resulted in a MAPE of merely 6.87% over a 6-month period. Overall, the paper proposes an altered rendition of the Reddy-Clinton equation to better account for volatility and output an accurate model of a stock’s performance over a period of time