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Sanjay Mathur - One of the best experts on this subject based on the ideXlab platform.

  • drug release profile in Core shell nanofibrous structures
    Computer Methods and Programs in Biomedicine, 2014
    Co-Authors: Mahboubeh Maleki, Mohammad Amanitehran, Masoud Latifi, Sanjay Mathur
    Abstract:

    Release profile of drug constituent encapsulated in electrospun Core-shell nanofibrous mats was modeled by Peppas equation and artificial neural Network. Core-shell fibers were fabricated by co-axial electrospinning process using tetracycline hydrochloride (TCH) as the Core and poly(l-lactide-co-glycolide) (PLGA) or polycaprolactone (PCL) as the shell materials. The density and hydrophilicity of the shell polymers, feed rates and concentrations of Core and shell phases, the contribution of TCH in Core material and electrical field were the parameters fed to the perceptron Network to predict Peppas constants in order to derive release pattern. This study demonstrated the viability of the prediction tool in determining drug release profile of electrospun Core-shell nanofibrous scaffolds.

Mahboubeh Maleki - One of the best experts on this subject based on the ideXlab platform.

  • drug release profile in Core shell nanofibrous structures
    Computer Methods and Programs in Biomedicine, 2014
    Co-Authors: Mahboubeh Maleki, Mohammad Amanitehran, Masoud Latifi, Sanjay Mathur
    Abstract:

    Release profile of drug constituent encapsulated in electrospun Core-shell nanofibrous mats was modeled by Peppas equation and artificial neural Network. Core-shell fibers were fabricated by co-axial electrospinning process using tetracycline hydrochloride (TCH) as the Core and poly(l-lactide-co-glycolide) (PLGA) or polycaprolactone (PCL) as the shell materials. The density and hydrophilicity of the shell polymers, feed rates and concentrations of Core and shell phases, the contribution of TCH in Core material and electrical field were the parameters fed to the perceptron Network to predict Peppas constants in order to derive release pattern. This study demonstrated the viability of the prediction tool in determining drug release profile of electrospun Core-shell nanofibrous scaffolds.

Masoud Latifi - One of the best experts on this subject based on the ideXlab platform.

  • drug release profile in Core shell nanofibrous structures
    Computer Methods and Programs in Biomedicine, 2014
    Co-Authors: Mahboubeh Maleki, Mohammad Amanitehran, Masoud Latifi, Sanjay Mathur
    Abstract:

    Release profile of drug constituent encapsulated in electrospun Core-shell nanofibrous mats was modeled by Peppas equation and artificial neural Network. Core-shell fibers were fabricated by co-axial electrospinning process using tetracycline hydrochloride (TCH) as the Core and poly(l-lactide-co-glycolide) (PLGA) or polycaprolactone (PCL) as the shell materials. The density and hydrophilicity of the shell polymers, feed rates and concentrations of Core and shell phases, the contribution of TCH in Core material and electrical field were the parameters fed to the perceptron Network to predict Peppas constants in order to derive release pattern. This study demonstrated the viability of the prediction tool in determining drug release profile of electrospun Core-shell nanofibrous scaffolds.

Mohammad Amanitehran - One of the best experts on this subject based on the ideXlab platform.

  • drug release profile in Core shell nanofibrous structures
    Computer Methods and Programs in Biomedicine, 2014
    Co-Authors: Mahboubeh Maleki, Mohammad Amanitehran, Masoud Latifi, Sanjay Mathur
    Abstract:

    Release profile of drug constituent encapsulated in electrospun Core-shell nanofibrous mats was modeled by Peppas equation and artificial neural Network. Core-shell fibers were fabricated by co-axial electrospinning process using tetracycline hydrochloride (TCH) as the Core and poly(l-lactide-co-glycolide) (PLGA) or polycaprolactone (PCL) as the shell materials. The density and hydrophilicity of the shell polymers, feed rates and concentrations of Core and shell phases, the contribution of TCH in Core material and electrical field were the parameters fed to the perceptron Network to predict Peppas constants in order to derive release pattern. This study demonstrated the viability of the prediction tool in determining drug release profile of electrospun Core-shell nanofibrous scaffolds.

Ernestine C. Briggs - One of the best experts on this subject based on the ideXlab platform.

  • Trauma exposure and sleep disturbance in a sample of youth from the National Child Traumatic Stress Network Core Data Set
    Sleep Health, 2016
    Co-Authors: Tyish S. Hall Brown, Harolyn M. E. Belcher, Jennifer Accardo, Ripudaman Minhas, Ernestine C. Briggs
    Abstract:

    Abstract Objective Adverse childhood experiences are prevalent and have been associated with sleep disturbance. However, there are limited data examining factors that influence this relationship. The purpose of this study was to extend the current literature by characterizing the relationship between adverse childhood experiences and sleep disturbance in a sample of trauma-exposed youth and to identify factors that may influence this relationship. Study design Data were collected from 56 mental health centers across the National Child Traumatic Stress Network. For the current study, secondary data analysis was conducted using de-identified data from the National Child Traumatic Stress Network Core Data Set. The present study included 4043 children and adolescents who met eligibility criteria. Results Sixteen percent of the sample (n = 634) met criteria for a sleep disturbance as determined through clinician assessment and collateral report. Posttraumatic stress disorder (PTSD) symptom severity influenced the risk of disturbed sleep (ages 7-12: t  = − 4.33, ages 13-18: t  = − 7.12, P  ≤ .001 for both analyses), with those meeting full criteria for PTSD at greatest risk (age 7-12: odds ratio [OR] = 1.95; 95% confidence interval [CI], 1.17-3.24; age 13-18: OR = 3.18; 95% CI, 1.87-5.43). Exposure to sexual assault and community violence also contributed independently to the risk of disturbed sleep (age 7-12, sexual assault: OR = 1.76; 95% CI, 1.21-2.57; age 13-18, community violence: OR = 1.61; 95% CI, 1.19-2.18). Conclusions Comprehensive treatment strategies should include assessment of disturbed sleep in youth exposed to trauma, particularly those with elevated PTSD symptoms and exposure to sexual trauma or community violence.

  • Cumulative trauma exposure and high risk behavior in adolescence: Findings from the National Child Traumatic Stress Network Core Data Set.
    Psychological Trauma: Theory Research Practice and Policy, 2014
    Co-Authors: Christopher M. Layne, Johanna K.p. Greeson, Sarah A. Ostrowski, Soeun Kim, Stephanie Reading, Rebecca L. Vivrette, Ernestine C. Briggs, John A. Fairbank, Robert S. Pynoos
    Abstract:

    Although links between adverse childhood experiences (ACEs) and problems in adulthood are wellestablished, less is known regarding links between exposure to trauma during childhood and adolescence and high-risk behavior in adolescence. We tested the hypothesis that cumulative exposure to up to 20 different types of trauma and bereavement/loss incrementally predicts high-risk adolescent behavior beyond demographic variables. Adolescents reporting exposure to at least 1 type of trauma (n 3,785; mean age 15.3 years; 62.7% girls) were selected from the National Child Traumatic Stress Network Core Data Set (CDS). Logistic regression analyses tested associations among both demographic variables and number of types of trauma and loss exposure as predictors, and 9 types of high-risk adolescent behavior and functional impairment (attachment difficulties, skipping school, running away from home, substance abuse, suicidality, criminality, self-injury, alcohol use, and victim of sexual exploitation) as criterion variables. As hypothesized, hierarchical logistic regression analyses revealed that each additional type of trauma exposure significantly increased the odds ratios for each problem behavior (range 1.06–1.22) after accounting for demographic variables. Some demographic variables (female gender, public insurance eligibility, and older age) were also associated with increased likelihood for some outcomes. Study findings extend previously identified links between childhood trauma and problems later in life to include high-risk behavior and functional impairment during adolescence. The findings undersCore the need for a trauma-informed public health approach to systematic screening, prevention, and early intervention for traumatized and bereaved youth in child service systems.

  • Modeling constellations of trauma exposure in the National Child Traumatic Stress Network Core Data Set.
    Psychological Trauma: Theory Research Practice and Policy, 2014
    Co-Authors: Robert S. Pynoos, Christopher M. Layne, Rebecca L. Vivrette, Ernestine C. Briggs, Alan M. Steinberg, Li-jung Liang, Cassandra Kisiel, Mandy Habib, Thomas R. Belin, John A. Fairbank
    Abstract:

    This article describes the features and utility of the Trauma History Profile (THP) component of the National Child Traumatic Stress Network (NCTSN) Core Data Set (CDS). The THP, which is derived from the Trauma History section of the University of California PTSD Reaction Index for DSM–IV ,i s a comprehensive tool to assist providers in identifying and characterizing a broad spectrum of 20 types of trauma experienced by children and adolescents. Additional questions assess the age during which each trauma type occurred and capture salient details about each experience. The THP allows for modeling of constellations of trauma history in ways conducive to risk stratification and triage, case conceptualization, treatment planning, and research. This article provides a conceptual background for the companion papers that are included in this special section. Selected illustrative findings from the NCTSN CDS (N 14,088) are presented, including frequencies and mean duration of exposure to specific trauma types; distributions of age of onset by trauma type; frequencies of specific trauma exposure details relating to domestic violence; and a principal component analysis of clusters of co-occurring trauma types during childhood and adolescence. The article concludes with a discussion of implications of the THP for research and practice.