Entity

Time filter

Source Type

New Philadelphia, PA, United States

Philadelphia University , founded in 1884, is a private university in the East Falls neighborhood of Philadelphia, Pennsylvania, United States. The student body has about 3,500 students. Academic programs are divided among the College of Architecture and the Built Environment; the Kanbar College of Design, Engineering and Commerce; and the College of Science, Health and the Liberal Arts; the School of Continuing and Professional Studies; coursed are also offered via PhilaU Online. Philadelphia University awards bachelor's degrees, master's degrees and doctoral degrees. Wikipedia.


The primary aims of this work were to: 1) establish a calibrator surrogate matrix for quantification of amyloid-β (Aβ)42 in human cerebrospinal fluid (CSF) and preparation of quality control samples for LC-MS-MS methodology, 2) validate analytical performance of the assay, and 3) evaluate its diagnostic utility and compare it with the AlzBio3 immunoassay. The analytical methodology was based on a 2D-UPLC-MS-MS platform. Sample pretreatment used 5 M guanidine hydrochloride and extraction on μElution SPE columns as previously described. A column cleaning procedure involved gradual removal of aqueous solvents by acetonitrile assured consistent long-term chromatography performance. Receiver-operator characteristic (ROC) curve and correlation analyses evaluated the diagnostic utility of UPLC-MS-MS compared to AlzBio3 immunoassay for detection of Alzheimer's disease (AD). The surrogate matrix, artificial CSF containing 4 mg/mL of BSA, provides linear and reproducible calibration comparable to human pooled CSF as calibration matrix. Appropriate cleaning of the trapping and analytical columns provided every-day, trouble-free runs. Analyses of CSF Aβ42 showed that UPLC-MS-MS distinguished neuropathologically-diagnosed AD subjects from healthy controls with at least equivalent diagnostic utility to AlzBio3. Comparison of ROC curves for these two assays showed no statistically significant difference (p = 0.2229). Linear regression analysis of Aβ42 concentrations measured by this mass spectrometry-based method compared to the AlzBio3 immunoassay showed significantly higher but highly correlated results. In conclusion, the newly established surrogate matrix for 2D-UPLC-MS-MS measurement of Aβ42 provides selective, reproducible, and accurate results. The documented analytical performance and diagnostic performance for AD versus controls supports consideration as a candidate reference method. Source


Daqrouq K.,Philadelphia University
Engineering Applications of Artificial Intelligence | Year: 2011

In the present study, the techniques of wavelet transform (WT) and neural network were developed for speech based text-independent speaker identification. The first five formants in conjunction with the Shannon entropy of wavelet packet (WP) upon level four features extraction method was developed. Thirty-five features were fed to feed-forward backpropagation neural networks (FFPBNN) for classification. The functions of features extraction and classification are performed using the wavelet packet and formants neural networks (WPFNN) expert system. The declared results show that the proposed method can make an effectual analysis with average identification rates reaching 91.09. Two published methods were investigated for comparison. The best recognition rate selection obtained was for WPFNN. Discrete wavelet transform (DWT) was studied to improve the system robustness against the noise of -2 dB. © 2010 Elsevier Ltd. All rights reserved. Source


Insomnia is a common health complaint world-wide. Insomnia is a risk factor in the development of other psychological and physiological disorders. Therefore understanding the mechanisms which predispose an individual to developing insomnia has great transdiagnostic value. However, whilst it is largely accepted that a vulnerable phenotype exists there is a lack of research which aims to systematically assess the make-up of this phenotype. This review outlines the research to-date, considering familial aggregation and the genetics and psychology of stress-reactivity. A model will be presented in which negative affect (neuroticism) and genetics (5HTTLPR) are argued to lead to disrupted sleep via an increase in stress-reactivity, and further that the interaction of these variables leads to an increase in learned negative associations, which further increase the likelihood of poor sleep and the development of insomnia. Copyright © 2013 Elsevier Ltd. All rights reserved. Source


Treadway M.T.,Harvard University | Treadway M.T.,Philadelphia University | Treadway M.T.,Vanderbilt University
Nature neuroscience | Year: 2014

Determining the appropriate punishment for a norm violation requires consideration of both the perpetrator's state of mind (for example, purposeful or blameless) and the strong emotions elicited by the harm caused by their actions. It has been hypothesized that such affective responses serve as a heuristic that determines appropriate punishment. However, an actor's mental state often trumps the effect of emotions, as unintended harms may go unpunished, regardless of their magnitude. Using fMRI, we found that emotionally graphic descriptions of harmful acts amplify punishment severity, boost amygdala activity and strengthen amygdala connectivity with lateral prefrontal regions involved in punishment decision-making. However, this was only observed when the actor's harm was intentional; when harm was unintended, a temporoparietal-medial-prefrontal circuit suppressed amygdala activity and the effect of graphic descriptions on punishment was abolished. These results reveal the brain mechanisms by which evaluation of a transgressor's mental state gates our emotional urges to punish. Source


Swanson R.L.,Philadelphia University
Journal of the American Osteopathic Association | Year: 2013

Since its inception, osteopathic medicine has sought to identify the mechanical causes of disease and to understand the body's structure-function relationship. Research conducted during the past 25 years has demonstrated that the architectural principles of tensegrity can be applied to biological organisms (termed biotensegrity) and that these principles can demonstrate the mechanical structure-function relationship at all size scales in the human body. Further, biotensegrity at the cellular level allows the cell to mechanically sense its environment and convert mechanical signals into biochemical changes. When applied to the principles of osteopathic medicine, biotensegrity provides a conceptual understanding of the hierarchical organization of the human body and explains the body's ability to adapt to change. Further, biotensegrity explains how mechanical forces applied during osteopathic manipulative treatment could lead to effects at the cellular level, providing a plat-form for future research on the mechanisms of action of osteopathic manipulative treatment. Source

Discover hidden collaborations