The Predictive Relationship Between Personality, GPA, and Membership in Nontraditional Student Populations

Community colleges are academic institutions with a large number of nontraditional students whose needs must be understood before their academic needs can be fully addressed. Previous research studies have established a positive correlation between academic performance and the personality traits of Conscientiousness and Openness to Experiences, and to a lesser extent the traits of Extraversion and Agreeableness. In contrast, a negative correlation has been demonstrated between the trait of Neuroticism and academic performance. These studies were conducted primarily in four-year institutions, making the generalization of results to community college students inappropriate. The present study explored the predictive relationship between personality traits, GPA, and membership into a traditional and nontraditional student category using a non-experimental regression research design. A stepwise forward logistic regression was conducted with data provided by 163 students attending a major community college in the Southeastern region of the United States. Results indicated the trait of Neuroticism accounts for about 10% of the variability between traditional and nontraditional students, thus serving as a predictor variable. Information regarding how faculty members and staff can utilize study findings, as well as recommendation for future studies, are included

The individual poverty incidence of growth

The canonical approach to analyse the poverty impact of growth is based on the comparison of poverty before and after growth. Measurement tools endorsing this approach fail to capture the different experiences of poverty dynamic in the population: there can be groups of the population made poorer or non-poor made poor by growth.We propose an approach that allows measuring this individual poverty incidence of growth and showhowit is related with existing models.We apply our framework to evaluate the poverty impact of growth in Indonesia, by comparing the 1993–2000 with the 2000–07 and 2007–14 growth spells

The Individual Poverty Incidence of Growth

The canonical approach to analyse the poverty impact of growth is based on the comparison of poverty before and after growth. Measurement tools endorsing this approach fail to capture the different experiences of poverty dynamic in the population: there can be groups of the population made poorer or non-poor made poor by growth. We propose an approach that allows measuring this individual poverty incidence of growth and show how it is related with existing models. We apply our framework to evaluate the poverty impact of growth in Indonesia, by comparing the 1993–2000 with the 2000–07 and 2007–14 growth spells

Visible Light Induced Oxidation of Trans-ferulic Acid by TiO2 Photocatalysis

The oxidation of trans-ferulic acid (C 10H 10O 4) in aqueous TiO 2 dispersion occurs via the formation of a charge-transfer complex on the TiO 2 surface that is able to absorb visible light (\u3bb 65 400 nm). The main product is CO 2, whereas secondary oxidation products are organic species such as vanillin, caffeic acid, homovanillic acid, and vanillylmandelic acid. Oxidation through the formation of a charge-transfer complex occurs only in the presence of specific TiO 2 samples. Experiments in the absence of oxygen, in the presence of bromate ions and by using a phosphate-modified TiO 2, have been carried out for investigating the reaction mechanism. In order to study the interaction between trans-ferulic acid and TiO 2 surface and to characterize the charge-transfer complex, UV-Vis diffuse reflectance and FT-IR spectroscopies have been used. FT-IR characterization of TiO 2 samples in contact with the aqueous trans-ferulic acid solution indicates that the charge-transfer complex formation occurs via adsorption of bidentate ferulate species

Highly stable defective TiO2-x with tuned exposed facets induced by fluorine: Impact of surface and bulk properties on selective UV/visible alcohol photo-oxidation

Titanium dioxide samples were prepared in the presence of different amounts of fluorine via hydrothermal method. It has been found that the presence of fluoride influenced the physico-chemical properties of TiO2 in various ways as polymorphic form stability, surface hydroxylation, generation of hydroxyl radicals under irradiation and formation of Ti3+ centers and oxygen vacancies. The generation rate of [rad]OH radicals was investigated by the photoluminescence technique in the presence of terephthalic acid. X-ray diffractometry indicated that fluorine stabilized the anatase TiO2. X-Ray photoelectron spectroscopy (XPS) revealed the presence of fluorine on the surface and the shift of the valence band edge towards less negative potentials, electron paramagnetic resonance (EPR) confirmed the formation of Ti3+ in the bulk of the photocatalysts, UV–vis spectra showed the extension of the TiO2 photo-response in the visible light region. 2-Propanol degradation and 4-methoxybenzyl alcohol partial oxidation were studied as probe reactions by using the home prepared powders as photocatalysts. Surprisingly, the photocatalytic activity resulted to be mainly affected by [rad]OH radicals formation ability under irradiation, rather than by the presence of {0 0 1} facets, although it cannot be excluded that the latter could influence the ability to form radicals under irradiation

FineCat : a meeting fostering progress in frontier research and sustainable development from and within Sicily

Scientific meetings on topics of socioeconomic and environmental global relevance such as the \u201cFineCat Symposium on heterogeneous catalysis for fine chemicals\u201d held in Sicily between 2012 and 2017 may actively promote sustainable development and progress in frontier research from and within developing areas of the world

Gait-related frequency modulation of beta oscillatory activity in the subthalamic nucleus of parkinsonian patients

Background: Abnormal beta band activity in the subthalamic nucleus (STN) is known to be exaggerated in patients with Parkinson's disease, and the amplitude of such activity has been associated with akinetic rigid symptoms. New devices for deep brain stimulation (DBS) that operate by adapting the stimulation parameters generally rely on the detection of beta activity amplitude modulations in these patients. Movement-related frequency modulation of beta oscillatory activity has been poorly investigated, despite being an attractive variable for extracting information about basal ganglia activity. Objective: We studied the STN oscillatory activity associated with locomotion and proposed a new approach to extract movement related information from beta band activity. Methods: We recorded bilateral local field potential of the STN in eight parkinsonian patients implanted with DBS electrodes during upright quiet standing and unperturbed walking. Neurophysiological recordings were combined with kinematic measurements and individual molecular brain imaging studies. We then determined the information carried by the STN oscillatory activity about locomotion and we identified task-specific biomarkers. Results: We found a gait-related peak frequency modulation of the beta band of STN recordings of parkinsonian patients. This novel biomarker and the associated power modulations were highly informative to detect the walking state (with respect to standing) in each single patient. Conclusion: Frequency modulation in the human STN represents a fundamental aspect of information processing of locomotion. Our information-driven approach could significantly enrich the spectrum of Parkinson's neural markers, with input signals encoding ongoing tasks execution for an appropriate online tuning of DBS delivery

Salicylic acid for the treatment of melasma: new acquisitions for monitoring the clinical improvement.

OBJECTIVE: The Melasma Area and Severity Index (MASI) and the Melasma Severity Score (MSS) are calculated on the basis of only a subjective clinical assessment. This raises the need to have an objective score, uniform in the evaluation by different clinicians. The purpose of this study was to establish if the images by Canfield Reveal Imager can be correlated to MASI score to better evaluate the clinical efficacy of salicylic acid 33% peeling in the treatment of melasma respect to the clinical observation. METHODS: The study was a voluntary observational study. Twenty female patients affected with melasma, aged between 30 and 60 years, were included in the study. Treatment with salicylic acid 33% was performed once a month, for a total of four times. The dermatologist (Doc A) examined each patient's melasma areas using MASI score, at the face-to-face observation and at Reveal images evaluation during the first (T0) and the end point time (T4). Digital photographs were also evaluated by another experienced dermatologist (Doc B), who has never seen clinically the patients before and who evaluated MASI score by Reveal images at time T0 and T4. RESULTS: Student's t-test and linear regression test were performed, showing statistically significant values comparing MASI score obtained by digital photo and MASI score obtained clinically. CONCLUSION: The monitoring of the improvement by Reveal images can optimize the treatment approach and the efficacy of same dermocosmetics procedures can be revised following standard criteria

Revisiting the Training of Logic Models of Protein Signaling Networks with a Formal Approach based on Answer Set Programming

A fundamental question in systems biology is the construction and training to data of mathematical models. Logic formalisms have become very popular to model signaling networks because their simplicity allows us to model large systems encompassing hundreds of proteins. An approach to train (Boolean) logic models to high-throughput phospho-proteomics data was recently introduced and solved using optimization heuristics based on stochastic methods. Here we demonstrate how this problem can be solved using Answer Set Programming (ASP), a declarative problem solving paradigm, in which a problem is encoded as a logical program such that its answer sets represent solutions to the problem. ASP has significant improvements over heuristic methods in terms of efficiency and scalability, it guarantees global optimality of solutions as well as provides a complete set of solutions. We illustrate the application of ASP with in silico cases based on realistic networks and data