Institution
Virginia Commonwealth University
Education•Richmond, Virginia, United States•
About: Virginia Commonwealth University is a education organization based out in Richmond, Virginia, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 23822 authors who have published 49587 publications receiving 1787046 citations. The organization is also known as: VCU.
Topics: Population, Poison control, Health care, Anxiety, Mental health
Papers published on a yearly basis
Papers
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TL;DR: Six of 8 HDL-C and 5 of 8 LDL-C direct methods met the National Cholesterol Education Program total error goals for nondiseased individuals and all the methods failed to meet these goals for diseased individuals, however, because of lack of specificity toward abnormal lipoproteins.
Abstract: Background: Methods from 7 manufacturers and 1 distributor for directly measuring HDL cholesterol (C) and LDL-C were evaluated for imprecision, trueness, total error, and specificity in nonfrozen serum samples.
Methods: We performed each direct method according to the manufacturer’s instructions, using a Roche/Hitachi 917 analyzer, and compared the results with those obtained with reference measurement procedures for HDL-C and LDL-C. Imprecision was estimated for 35 runs performed with frozen pooled serum specimens and triplicate measurements on each individual sample. Sera from 37 individuals without disease and 138 with disease (primarily dyslipidemic and cardiovascular) were measured by each method. Trueness and total error were evaluated from the difference between the direct methods and reference measurement procedures. Specificity was evaluated from the dispersion in differences observed.
Results: Imprecision data based on 4 frozen serum pools showed total CVs <3.7% for HDL-C and <4.4% for LDL-C. Bias for the nondiseased group ranged from −5.4% to 4.8% for HDL-C and from −6.8% to 1.1% for LDL-C, and for the diseased group from −8.6% to 8.8% for HDL-C and from −11.8% to 4.1% for LDL-C. Total error for the nondiseased group ranged from −13.4% to 13.6% for HDL-C and from −13.3% to 13.5% for LDL-C, and for the diseased group from −19.8% to 36.3% for HDL-C and from −26.6% to 31.9% for LDL-C.
Conclusions: Six of 8 HDL-C and 5 of 8 LDL-C direct methods met the National Cholesterol Education Program total error goals for nondiseased individuals. All the methods failed to meet these goals for diseased individuals, however, because of lack of specificity toward abnormal lipoproteins.
292 citations
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TL;DR: In this article, the authors report on the rapid production, characterization, and spectral properties of highly uniform, ultra narrow semiconductor (ZnS, ZnSe, CdS and CdSe) nanorods and nanowires.
Abstract: We report on the rapid production, characterization, and spectral properties of highly uniform, ultra narrow semiconductor (ZnS, ZnSe, CdS, CdSe) nanorods and nanowires by microwave irradiation. Quantum-confinement effects are manifested in the light absorption and the PL of the rods and wires. The uniformity of the rods and of the wires is demonstrated in their spontaneous assembly into highly ordered 2D supercrystals. We also observed the stepwise growth of the rods originating from nearly spherical nuclei.
292 citations
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292 citations
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TL;DR: GFAP performed consistently in detecting MMTBI, CT lesions, and neurosurgical intervention across 7 days and UCH-L1 performed best in the early postinjury period.
Abstract: Importance Glial fibrillary acidic protein (GFAP) and ubiquitin C-terminal hydrolase L1 (UCH-L1) have been widely studied and show promise for clinical usefulness in suspected traumatic brain injury (TBI) and concussion. Understanding their diagnostic accuracy over time will help translate them into clinical practice. Objectives To evaluate the temporal profiles of GFAP and UCH-L1 in a large cohort of trauma patients seen at the emergency department and to assess their diagnostic accuracy over time, both individually and in combination, for detecting mild to moderate TBI (MMTBI), traumatic intracranial lesions on head computed tomography (CT), and neurosurgical intervention. Design, Setting, and Participants This prospective cohort study enrolled adult trauma patients seen at a level I trauma center from March 1, 2010, to March 5, 2014. All patients underwent rigorous screening to determine whether they had experienced an MMTBI (blunt head trauma with loss of consciousness, amnesia, or disorientation and a Glasgow Coma Scale score of 9-15). Of 3025 trauma patients assessed, 1030 met eligibility criteria for enrollment, and 446 declined participation. Initial blood samples were obtained in 584 patients enrolled within 4 hours of injury. Repeated blood sampling was conducted at 4, 8, 12, 16, 20, 24, 36, 48, 60, 72, 84, 96, 108, 120, 132, 144, 156, 168, and 180 hours after injury. Main Outcomes and Measures Diagnosis of MMTBI, presence of traumatic intracranial lesions on head CT scan, and neurosurgical intervention. Results A total of 1831 blood samples were drawn from 584 patients (mean [SD] age, 40 [16] years; 62.0% [362 of 584] male) over 7 days. Both GFAP and UCH-L1 were detectible within 1 hour of injury. GFAP peaked at 20 hours after injury and slowly declined over 72 hours. UCH-L1 rose rapidly and peaked at 8 hours after injury and declined rapidly over 48 hours. Over the course of 1 week, GFAP demonstrated a diagnostic range of areas under the curve for detecting MMTBI of 0.73 (95% CI, 0.69-0.77) to 0.94 (95% CI, 0.78-1.00), and UCH-L1 demonstrated a diagnostic range of 0.30 (95% CI, 0.02-0.50) to 0.67 (95% CI, 0.53-0.81). For detecting intracranial lesions on CT, the diagnostic ranges of areas under the curve were 0.80 (95% CI, 0.67-0.92) to 0.97 (95% CI, 0.93-1.00)for GFAP and 0.31 (95% CI, 0-0.63) to 0.77 (95% CI, 0.68-0.85) for UCH-L1. For distinguishing patients with and without a neurosurgical intervention, the range for GFAP was 0.91 (95% CI, 0.79-1.00) to 1.00 (95% CI, 1.00-1.00), and the range for UCH-L1 was 0.50 (95% CI, 0-1.00) to 0.92 (95% CI, 0.83-1.00). Conclusions and Relevance GFAP performed consistently in detecting MMTBI, CT lesions, and neurosurgical intervention across 7 days. UCH-L1 performed best in the early postinjury period.
291 citations
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TL;DR: In this article, the authors argue that the interaction between the learning and behavior problems of students with EBD is complex and likely characterized by multiple influences, including classroom contextual factors, and that a lack of exposure to effective instruction contributes to poor academic and behavioral outcomes.
Abstract: Many students with emotional or behavioral disorders (EBD) display both learning and behavioral problems that make it difficult for teachers to provide effective instruction. In turn, a lack of exposure to effective instruction contributes to poor academic and behavioral outcomes. In this article, the authors argue that the interaction between the learning and behavior problems of students with EBD is complex and likely characterized by multiple influences, including classroom contextual factors. The authors detail (a) ways that teacher instructional behaviors and classroom contexts may contribute to the relationship between learning and behavior problems of students with EBD and (b) assessment procedures helpful for measuring classroom contextual variables. Implications for future research are discussed, including using data gleaned from applied research to inform future randomized clinical trials examining classroom-based interventions for students with EBD.
291 citations
Authors
Showing all 24085 results
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Carlo M. Croce | 198 | 1135 | 189007 |
Nicholas G. Martin | 192 | 1770 | 161952 |
Michael Rutter | 188 | 676 | 151592 |
Kenneth S. Kendler | 177 | 1327 | 142251 |
Bernhard O. Palsson | 147 | 831 | 85051 |
Thomas J. Smith | 140 | 1775 | 113919 |
Ming T. Tsuang | 140 | 885 | 73865 |
Patrick F. Sullivan | 133 | 594 | 92298 |
Martin B. Keller | 131 | 541 | 65069 |
Michael E. Thase | 131 | 923 | 75995 |
Benjamin F. Cravatt | 131 | 666 | 61932 |
Jian Zhou | 128 | 3007 | 91402 |
Rena R. Wing | 128 | 649 | 67360 |
Linda R. Watkins | 127 | 519 | 56454 |