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Institution

University of Kansas

EducationLawrence, Kansas, United States
About: University of Kansas is a education organization based out in Lawrence, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38183 authors who have published 81381 publications receiving 2986312 citations. The organization is also known as: KU & Univ of Kansas.


Papers
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Journal ArticleDOI
TL;DR: The evolutionary model contends that understanding the evolutionary functions of adolescence is critical to explaining why adolescents engage in risky behavior and that successful intervention depends on working with, instead of against, adolescent goals and motivations.
Abstract: This article proposes an evolutionary model of risky behavior in adolescence and contrasts it with the prevailing developmental psychopathology model. The evolutionary model contends that understanding the evolutionary functions of adolescence is critical to explaining why adolescents engage in risky behavior and that successful intervention depends on working with, instead of against, adolescent goals and motivations. The current article articulates 5 key evolutionary insights into risky adolescent behavior: (a) The adolescent transition is an inflection point in development of social status and reproductive trajectories; (b) interventions need to address the adaptive functions of risky and aggressive behaviors like bullying; (c) risky adolescent behavior adaptively calibrates over development to match both harsh and unpredictable environmental conditions; (d) understanding evolved sex differences is critical for understanding the psychology of risky behavior; and (e) mismatches between current and past environments can dysregulate adolescent behavior, as demonstrated by age-segregated social groupings. The evolutionary model has broad implications for designing interventions for high-risk youth and suggests new directions for research that have not been forthcoming from other perspectives.

554 citations

Journal ArticleDOI
TL;DR: Carbamazepine or oxcarbazepine should be offered as first‐line treatment for pain control and microvascular decompression may be considered over other surgical techniques to provide the longest duration of pain freedom in patients with TN.
Abstract: Several issues regarding diagnosis, pharmacological treatment, and surgical treatment of trigeminal neuralgia (TN) are still unsettled. The American Academy of Neurology and the European Federation of Neurological Societies launched a joint Task Force to prepare general guidelines for the management of this condition. After systematic review of the literature the Task Force came to a series of evidence-based recommendations. In patients with TN MRI may be considered to identify patients with structural causes. The presence of trigeminal sensory deficits, bilateral involvement, and abnormal trigeminal reflexes should be considered useful to disclose symptomatic TN, whereas younger age of onset, involvement of the first division, unresponsiveness to treatment and abnormal trigeminal evoked potentials are not useful in distinguishing symptomatic from classic TN. Carbamazepine (stronger evidence) or oxcarbazepine (better tolerability) should be offered as first-line treatment for pain control. For patients with TN refractory to medical therapy early surgical therapy may be considered. Gasserian ganglion percutaneous techniques, gamma knife and microvascular decompression may be considered. Microvascular decompression may be considered over other surgical techniques to provide the longest duration of pain freedom. The role of surgery versus pharmacotherapy in the management of TN in patients with multiple sclerosis remains uncertain.

553 citations

Journal ArticleDOI
Anderson Hc1
TL;DR: Matrix vesicles are extracellular 100-nanometer-diameter membrane-invested particles selectively located within the matrix of bone, cartilage, and predentin that serve as the initial site of calcification in all skeletal tissues.
Abstract: Matrix vesicles are extracellular 100-nanometer-diameter membrane-invested particles selectively located within the matrix of bone, cartilage, and predentin. They serve as the initial site of calcification in all skeletal tissues. Matrix vesicle biogenesis occurs by polarized budding and pinching off of vesicles from specific regions of the outer plasma membrane of chondrocytes, osteoblasts, and odontoblasts. Seeding of selected areas of matrix with matrix vesicles explains the localized distribution of subsequent zones of mineralization. Matrix vesicle biogenesis in the growth plate is linked to the chondrocyte cell cycle and reflects a stage in programmed cell death (apoptosis). Generation of initial hydroxyapatite mineral crystals occurs within the matrix vesicle membrane during Phase 1 of biologic mineralization. Phase 1 is controlled by phosphatases (including alkaline phosphatase) and Ca-binding molecules with which the matrix vesicles are well endowed. Phase 2 of biologic mineralization begins with breakdown of matrix vesicle membranes, exposing preformed hydroxyapatite to the extracellular fluid after which mineral crystal proliferation is governed by extracellular conditions. Phase 1 and Phase 2 of mineralization are under cellular control. Phase 1 is initiated by cells generating calcifiable matrix vesicles and releasing them into sites of intended calcification. Phase 2 is controlled by cells regulating extracellular ionic conditions and matrix composition.

553 citations

Proceedings ArticleDOI
04 Nov 2010
TL;DR: A distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing the data from the source meter to the collector unit, which is especially suitable for smart grids with repetitive routine data aggregation tasks.
Abstract: In this paper, we present a distributed incremental data aggregation approach, in which data aggregation is performed at all smart meters involved in routing the data from the source meter to the collector unit. With a carefully constructed aggregation tree, the aggregation route covers the entire local neighborhood or any arbitrary set of designated nodes with minimum overhead. To protect user privacy, homomorphic encryption is used to secure the data en route. Therefore, all the meters participate in the aggregation, without seeing any intermediate or final result. In this way, our approach supports efficient data aggregation in smart grids, while fully protecting user privacy. This approach is especially suitable for smart grids with repetitive routine data aggregation tasks.

552 citations

Journal ArticleDOI
01 Feb 2000-Drugs
TL;DR: This multimodal PONV management approach includes use of multiple different antiemetics medications (double or triple combination antiemetic therapy acting at different neuroreceptor sites); less emetogenic anaesthesia techniques; adequate intravenous hydration; and adequate pain control.
Abstract: Pain, nausea and vomiting are frequently listed by patients as their most important perioperative concerns. With the change in emphasis from an inpatient to outpatient hospital and office-based medical/surgical environment, there has been increased interest in the ‘big little problem’ of postoperative nausea and vomiting (PONV). Currently, the overall incidence of PONV is estimated to be 25 to 30%, with severe, intractable PONV estimated to occur in approximately 0.18% of all patients undergoing surgery. PONV can lead to delayed postanaesthesia care unit (PACU) recovery room discharge and unanticipated hospital admission, thereby increasing medical costs. The aetiology and consequences of PONV are complex and multifactorial, with patient-, medical- and surgery-related factors. A thorough understanding of these factors, as well as the neuropharmacology of multiple emetic receptors [dopaminergic, muscarinic, cholinergic, opioid, histamine, serotonin (5-hydroxy-tryptamine; 5-HT)] and physiology [cranial nerves VIII (acoustic-vestibular), IX (glossopharyngeal) and X (vagus), gastrointestinal reflex] relating to PONV are necessary to most effectively manage PONV. Commonly used older, traditional antiemetics for PONV include the anticholinergics (scopolamine), phenothiazines (promethazine), antihistamines (diphenhydramine), butyrophenones (droperidol) and benzamides (metoclopramide). These antiemetics have adverse effects such as dry mouth, sedation, hypotension, extrapyramidal symptoms, dystonic effects and restlessness. The newest class of antiemetics used for the prevention and treatment of PONV are the serotonin receptor antagonists (ondansetron, granisetron, tropisetron, dolasetron). These antiemetics do not have the adverse effects of the older, traditional antiemetics. Headache and dizziness are the main adverse effects of the serotonin receptor antagonists in the dosages used for PONV. The serotonin receptor antagonists have improved antiemetic effectiveness but are not as completely efficacious for PONV as they are for chemotherapy-induced nausea and vomiting. Older, traditional antiemetics (such as droperidol) compare favourably with the serotonin receptor antagonists regarding efficacy for PONV prevention. Combination antiemetic therapy improves efficacy for PONV prevention and treatment. In the difficult-to-treat PONV patient (as in the chemotherapy patient), suppression of numerous emetogenic peripheral stimuli and central neuroemetic receptors may be necessary. This multimodal PONV management approach includes use of: (i) multiple different antiemetic medications (double or triple combination antiemetic therapy acting at different neuroreceptor sites); (ii) less emetogenic anaesthesia techniques; (iii) adequate intravenous hydration; and (iv) adequate pain control.

552 citations


Authors

Showing all 38401 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
Krzysztof Matyjaszewski1691431128585
Wei Li1581855124748
David Tilman158340149473
Tomas Hökfelt158103395979
Pete Smith1562464138819
Daniel J. Rader1551026107408
Melody A. Swartz1481304103753
Kevin Murphy146728120475
Carlo Rovelli1461502103550
Stephen Sanders1451385105943
Marco Zanetti1451439104610
Andrei Gritsan1431531135398
Gunther Roland1411471100681
Joseph T. Hupp14173182647
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022358
20214,211
20204,204
20193,766
20183,485